Apologies for cross-postings. Please send to interested colleagues and
students

-- CALL FOR PAPERS - Deadline for submissions: 19 February 2010 --

IADIS EUROPEAN CONFERENCE ON DATA MINING 2010
Freiburg, Germany, 28 – 30 July 2010
(http://www.datamining-conf.org/)
part of the IADIS Multi Conference on Computer Science and Information Systems
(MCCSIS 2010)
Freiburg, Germany 26 – 31 July 2010
(http://www.mccsis.org)

* Conference background and goals
The European Conference on Data Mining (ECDM'10) is aimed to gather researchers
and application developers from a wide range of data mining related areas such
as statistics, computational intelligence, pattern recognition, databases and
visualization. ECDM'10 is aimed to advance the state of the art in data mining
field and its various real world applications.
ECDM'10will provide opportunities for technical collaboration among data mining
and machine learning researchers around the globe.

* Format of the Conference
The conference will comprise of invited talks and oral presentations. The
proceedings of the conference will be published in the form of a book and CD-ROM
with ISBN, and will be available also in the
IADIS Digital Library (accessible on-line).

* Best Papers
Selected authors of best papers will be invited to submit extended versions of
their papers to selected journals (i.e. IADIS International Journal on Computer
Science and Information Systems - ISSN: 1646-3692) including journals from
INDERSCIENCE Publishers.

* Types of submissions
Full and Short Papers, Reflection Papers, Posters/Demonstrations, Tutorials,
Panels and Doctoral Consortium.
All submissions are subject to a blind refereeing process.

* Topics related to Data Mining are of interest. These include, but are not
limited to the following areas:
- Core Data Mining Topics (Main area)
	 - Parallel and distributed data mining algorithms
	 - Data streams mining
	 - Graph mining
	 - Spatial data mining
	 - Text video, multimedia data mining
	 - Web mining
	 - Pre-processing techniques
	 - Visualization
	 - Security and information hiding in data mining
- Data Mining Applications (Main area)
	 - Databases
	 - Bioinformatics
	 - Biometrics
	 - Image analysis
	 - Financial modeling
	 - Forecasting
	 - Classification
	 - Clustering
	 - Social Networks

* Important Dates:
- Submission Deadline: 19 February 2010
- Notification to Authors: 19 March 2010
- Final Camera-Ready Submission and Early Registration: Until 12 April 2010
- Late Registration: After 12 April 2010
- Conference: Freiburg, Germany, 28 – 30 July 2010


* Conference Location
The conference will be held in Freiburg, Germany.

* Secretariat
IADIS Secretariat - IADIS EUROPEAN CONFERENCE ON DATA MINING 2010
Rua Sao Sebastiao da Pedreira, 100, 3
1050-209 Lisbon, Portugal
E-mail: secretariat@...
Web site: http://www.datamining-conf.org/

* Program Committee
European Conference on Data Mining 2010 Program Chair
Ajith P. Abraham, School of Computer Science, Chung-Ang University, South Korea

General MCCSIS 2010 Conference Co-Chairs:
Piet Kommers, University of Twente, The Netherlands
Pedro Isaías, Universidade Aberta (Portuguese Open University), Portugal
Dirk Ifenthaler, Albert-Ludwigs-Universität Freiburg, Germany
Nian-Shing Chen, National Sun Yat-sen University, Taiwan

Committee Members: *
* for committee list please refer to
http://www.datamining-conf.org/committees.asp

 Hi everybody,

    I am working on Closed Itemset Mining. Could somebody send me the
implementation of CLOSET+ or any other closed itemset mining algorithms. I would
prefer the implementation to be in Java, but other languages will also do.
Please help me.

Thanks,
Sireesha

As the Director of Analytics you will be the champion of mix modeling – and you
will own the data and analytics, work closely with and report to the SVP
Director, Media Analytics at this NYC based agency.  Clients include leaders in
broadband entertainment, financial services and other industries.  Project
management skills, the ability to shift gears quickly (sense of urgency is
essential – this is a fast paced environment) and work with some ambiguity are
essential in this position.  Expert analytical skills a must, maturity and
business savvy as well as an ability to clearly communicate verbally and in the
written word.  Expert presentation skill set to sr level of management a "must
have".  Prefer candidates in the Greater NYC area. No direct reports.



Qualified candidates send cover letter and resume to Linda@...

Hai,
I like to do research in datamining. It will be nice if someone let know about
the basics to be learned incase of beginners.




[Non-text portions of this message have been removed]

Hi Sujatha,
 
you may find this site useful  : http://www.kdnuggets.org/
What is your specific area of interest in data anlytics?


--- On Fri, 11/12/09, sujatha radhakrishnan <sujaradha@...> wrote:


From: sujatha radhakrishnan <sujaradha@...>
Subject: [Data Mining] (unknown)
To: datamining2@yahoogroups.com
Date: Friday, 11 December, 2009, 9:08 AM


 



Hai,
I like to do research in datamining. It will be nice if someone let know about
the basics to be learned incase of beginners.

[Non-text portions of this message have been removed]









       The INTERNET now has a personality. YOURS! See your Yahoo! Homepage.
http://in.yahoo.com/

[Non-text portions of this message have been removed]

Hello,
Do read book by Vipin Kumar.
Cheers

Prof NB Venkateswarlu
B.Tech(SVU), M.Tech(IIT-Kanpur), Ph.D(BITS,Pilani), PDF(U of Leeds,UK)
Visit My Home at: www.ritchcenter.com/nbv
Visit My E-Learning Activity: www.ritchcenter.com/elearn
My College Home: www.adityatekkali.com
Authors of C and Data Structures:A Snap SHot Oriented Treatise Using Live
Engineering Examples, S Chand




________________________________
From: vartika sanat <vartikasanat@...>
To: datamining2@yahoogroups.com
Sent: Fri, December 11, 2009 10:00:12 PM
Subject: Re: [Data Mining] (unknown)


Hi Sujatha,

you may find this site useful  : http://www.kdnuggets.org/
What is your specific area of interest in data anlytics?

--- On Fri, 11/12/09, sujatha radhakrishnan <sujaradha@yahoo. com> wrote:

From: sujatha radhakrishnan <sujaradha@yahoo. com>
Subject: [Data Mining] (unknown)
To: datamining2@ yahoogroups. com
Date: Friday, 11 December, 2009, 9:08 AM



Hai,
I like to do research in datamining. It will be nice if someone let know about
the basics to be learned incase of beginners.

[Non-text portions of this message have been removed]

The INTERNET now has a personality. YOURS! See your Yahoo! Homepage.
http://in.yahoo. com/

[Non-text portions of this message have been removed]







[Non-text portions of this message have been removed]

Reports to VP Marketing Strategy & Finance
$100k +10-20% bonus
US Citizen, Green Card or PR Holder
Prefer local candidate but will offer relo


The Director of Marketing Analytics & Planning is responsible for executing
in-depth strategic analysis and developing strategies to maximize Firm's retail
business through the development of the seasonal marketing calendar and events /
offers that support the company's brand and merchandising strategies through
printed media.

Primary  Responsibilities:
• Analyzing the effectiveness of events by key business metric (e.g. ROI,
sales/advertising expense ratios, etc.) and developing new marketing events and
cadence to maximize business results – i.e. sales and margin / profit.
• Developing projections to validate proposed additions and changes to marketing
events in keeping with overall brand and business strategies.
• Maintaining understanding of Firms database and managing the resources of our
third-party provider to develop functional improvements to data warehousing and
reporting systems that can be leveraged to generate actionable customer insights
/ contact strategies to maximize sales / ROI performance.
• Identifying strategic trends and actionable customer insights reflective of
the company's brand / merchandising and marketing objectives – e.g. visits,
frequency, average spend, fob and channel cross-shopping.
• Creating and implementing (scorecard) reports for tracking of customer
behaviors and business results, inclusive of the 360-degree view of the customer
across fob's and channels.
• Partnering with the Planning Organization (resp for finc'l plans of each
business unit) to support the development of seasonal sales flow projections and
monthly / daily sales plans reflective of the company's promotional activities.
• 2 direct report with supervision of a team of 10 Marketing Analysts mentoring
and developing their analytical capabilities and presentation skills.  Team
consists of VP, 4 Dir/Mgrs and 5 analysts.

Qualifications:
• 4-year BA/BS degree.  MBA preferred.
• At least 7 years of work experience in database and marketing analysis;
retail/fashion/consumer products is preferred.  Expert level SAS and writing
complex SQL queries needed.
• Self-motivated with strong analytical and written / verbal presentation skills
and detail oriented. Presentation skill set will be to peers, VP & EVP of
Marketing Strategy & Finance and other cross functional groups.
• Ability to summarize complex findings in clear, concise and timely manner.
• Strong conceptual / creative thinker with the ability to prioritize,
multi-task and meet deadlines.
• Demonstrated ability to develop and manage a team and work in a team
environment.

Successful background check required

Qualified candidates please e-mail resume and cover letter to:  
Linda@...

Hai

Iam doing research in data mining using cluster method. The probelm is i dont
want to increase the size of the cluster when ever it insert new object.

I dint get any idea about it. Please help me to proceed further.




       The INTERNET now has a personality. YOURS! See your Yahoo! Homepage.
http://in.yahoo.com/

Hello,
Will be little more elaborate.

Are you talikng about cluster public domain package?.

Rather are you talking about clustering in general?.
If it is about clustering, your question is little fundamental.
Clustering is aimed at finding the available structure in your data. Probably to
eliminate false groups with less number of samples, you may employ cluster size.
Are you talking about this?.

Cheers

Prof NB Venkateswarlu
B.Tech(SVU), M.Tech(IIT-Kanpur), Ph.D(BITS,Pilani), PDF(U of Leeds,UK)
Visit My Home at: www.ritchcenter.com/nbv
Visit My E-Learning Activity: www.ritchcenter.com/elearn
My College Home: www.adityatekkali.com
Author of C and Data Structures: A Snap Shot oriented Treatise Using Live
Engineering Examples, S Chand




________________________________
From: kalai chennai <kalai_chennai@...>
To: datamining2@yahoogroups.com
Sent: Sat, December 12, 2009 12:34:22 PM
Subject: [Data Mining] give some ideas


Hai

Iam doing research in data mining using cluster method. The probelm is i dont
want to increase the size of the cluster when ever it insert new object.

I dint get any idea about it. Please help me to proceed further.

The INTERNET now has a personality. YOURS! See your Yahoo! Homepage.
http://in.yahoo. com/






[Non-text portions of this message have been removed]

Hai
 
 
My problem is when ever i using cluster again if some other objects are like to
add that cluster at that time i dont want to goto recluster tech but it should
be cluster.
 


--- On Sat, 12/12/09, DR. N. B. Venkat Nagasuri <venkat_ritch@...> wrote:


From: DR. N. B. Venkat Nagasuri <venkat_ritch@...>
Subject: Re: [Data Mining] give some ideas
To: datamining2@yahoogroups.com
Date: Saturday, 12 December, 2009, 12:46 PM


 



Hello,
Will be little more elaborate.

Are you talikng about cluster public domain package?.

Rather are you talking about clustering in general?.
If it is about clustering, your question is little fundamental.
Clustering is aimed at finding the available structure in your data. Probably to
eliminate false groups with less number of samples, you may employ cluster size.
Are you talking about this?.

Cheers

Prof NB Venkateswarlu
B.Tech(SVU), M.Tech(IIT-Kanpur) , Ph.D(BITS,Pilani) , PDF(U of Leeds,UK)
Visit My Home at: www.ritchcenter. com/nbv
Visit My E-Learning Activity: www.ritchcenter. com/elearn
My College Home: www.adityatekkali. com
Author of C and Data Structures: A Snap Shot oriented Treatise Using Live
Engineering Examples, S Chand

____________ _________ _________ __
From: kalai chennai <kalai_chennai@ yahoo.com>
To: datamining2@ yahoogroups. com
Sent: Sat, December 12, 2009 12:34:22 PM
Subject: [Data Mining] give some ideas

Hai

Iam doing research in data mining using cluster method. The probelm is i dont
want to increase the size of the cluster when ever it insert new object.

I dint get any idea about it. Please help me to proceed further.

The INTERNET now has a personality. YOURS! See your Yahoo! Homepage.
http://in.yahoo. com/

[Non-text portions of this message have been removed]









       The INTERNET now has a personality. YOURS! See your Yahoo! Homepage.
http://in.yahoo.com/

[Non-text portions of this message have been removed]

Hi,
The problem you consider like incremental clustering. But when you use a result
of cluster, and ever you have a new data, you want to assign to one exist
cluster?. I think in this case you must save some information status at this
previous step. And it depend on which clustering algorithm you use... Which
clustering algorithm do you use?

--- On Sat, 12/12/09, kalai chennai <kalai_chennai@...> wrote:

From: kalai chennai <kalai_chennai@...>
Subject: Re: [Data Mining] give some ideas
To: datamining2@yahoogroups.com
Date: Saturday, December 12, 2009, 3:10 AM







 









       Hai

 

 

My problem is when ever i using cluster again if some other objects are like to
add that cluster at that time i dont want to goto recluster tech but it should
be cluster.

 



--- On Sat, 12/12/09, DR. N. B. Venkat Nagasuri <venkat_ritch@ yahoo.com> wrote:



From: DR. N. B. Venkat Nagasuri <venkat_ritch@ yahoo.com>

Subject: Re: [Data Mining] give some ideas

To: datamining2@ yahoogroups. com

Date: Saturday, 12 December, 2009, 12:46 PM



 



Hello,

Will be little more elaborate.



Are you talikng about cluster public domain package?.



Rather are you talking about clustering in general?.

If it is about clustering, your question is little fundamental.

Clustering is aimed at finding the available structure in your data. Probably to
eliminate false groups with less number of samples, you may employ cluster size.
Are you talking about this?.



Cheers



Prof NB Venkateswarlu

B.Tech(SVU), M.Tech(IIT-Kanpur) , Ph.D(BITS,Pilani) , PDF(U of Leeds,UK)

Visit My Home at: www.ritchcenter. com/nbv

Visit My E-Learning Activity: www.ritchcenter. com/elearn

My College Home: www.adityatekkali. com

Author of C and Data Structures: A Snap Shot oriented Treatise Using Live
Engineering Examples, S Chand



____________ _________ _________ __

From: kalai chennai <kalai_chennai@ yahoo.com>

To: datamining2@ yahoogroups. com

Sent: Sat, December 12, 2009 12:34:22 PM

Subject: [Data Mining] give some ideas



Hai



Iam doing research in data mining using cluster method. The probelm is i dont
want to increase the size of the cluster when ever it insert new object.



I dint get any idea about it. Please help me to proceed further.



The INTERNET now has a personality. YOURS! See your Yahoo! Homepage.
http://in.yahoo. com/



[Non-text portions of this message have been removed]



The INTERNET now has a personality. YOURS! See your Yahoo! Homepage.
http://in.yahoo. com/



[Non-text portions of this message have been removed]

























[Non-text portions of this message have been removed]

Dear Data Mining Group Member,

Please help me in my research project on "Analysis of Applications of Data
Mining to Manufacturing"  and you may be rewarded for your time with $300. Your
participation is very valuable even if your company has not yet adopted Data
Mining.   I value your time and  appreciate very much your help in responding to
my anonymous survey posted at:
http://www.zoomerang.com/Survey/?p=WEB228PJJH4JYT.

A summary of the results of the survey will be available for those who complete
the survey.  Also a prize of $300 will be randomly  drawn among those who
complete survey.  The survey is anonymous and your contact information for
participating in the drawing will be kept separate from the data of the survey.
Please forward this invitation to anyone who may contribute to this research.

This study is conducted by the  MIS Department at Utah State University and it
has been approved by the Institutional Review Board of Utah State University. It
aims to identify the factors that affect the adoption of Data Mining by
manufacturing organizations in the USA, and to enhance the understanding on the
use of Data Mining in all areas of manufacturing on those organizations that
have adopted Data Mining. The results of this study may benefit all
manufacturing organizations interested in the adoption of Data Mining.

You may read the USU Letter of Information for more details in our Data Mining
Group's folder: USU - DM Research Project the Letter of Information of this
research from USU - Institutional Review Board.

If you have any questions on this research please contact Jose D. Montero by
e-mail at josedmontero@....  Details on how to provide
your contact information to request a summary of the survey results or to
participate in the random drawing of a $300 prize will be provided at the end of
the survey.

Thank you very much.

Jose D. Montero, Ph.D. Candidate
Home Tel. (801)776-5240
E-Mail: josedmontero@...
Folder: USU - DM Research Project


P.S.:  I appreciate very much that some of you have already answered my survey,
but we need more responses.

Dear DM Group Member,

The URL for my DM survey is:

http://www.zoomerang.com/Survey/WEB228PJJH4JYTT


If it does not work please cut and paste it in your browser.

Thanks.

Jose D. Montero

Dear Data Mining Group Member,

My sincere apologies  for the inconvenience of multiple emails.  We are having
problems with accessing the link for my DM survey.  Please try again:
http://www.zoomerang.com/Survey/?p=WEB228PJJH4JYT

You may also try from the invitation letter saved in our  DM Group folder: USU -
DM Research Project .
Thank you very much.

Jose D. Montero, Ph.D. Candidate
Home Tel. (801)776-5240
E-Mail: josedmontero@...
Folder: USU - DM Research Project

please all
 
can i applicate data mining on a customer survey ?




[Non-text portions of this message have been removed]

Sir,
Suggest me related to domain based mining.

--- On Fri, 12/11/09, DR. N. B. Venkat Nagasuri <venkat_ritch@...> wrote:


From: DR. N. B. Venkat Nagasuri <venkat_ritch@...>
Subject: Re: [Data Mining] (unknown)
To: datamining2@yahoogroups.com
Date: Friday, December 11, 2009, 10:19 PM


 



Hello,
Do read book by Vipin Kumar.
Cheers

Prof NB Venkateswarlu
B.Tech(SVU), M.Tech(IIT-Kanpur) , Ph.D(BITS,Pilani) , PDF(U of Leeds,UK)
Visit My Home at: www.ritchcenter. com/nbv
Visit My E-Learning Activity: www.ritchcenter. com/elearn
My College Home: www.adityatekkali. com
Authors of C and Data Structures:A Snap SHot Oriented Treatise Using Live
Engineering Examples, S Chand

____________ _________ _________ __
From: vartika sanat <vartikasanat@ yahoo.co. in>
To: datamining2@ yahoogroups. com
Sent: Fri, December 11, 2009 10:00:12 PM
Subject: Re: [Data Mining] (unknown)

Hi Sujatha,

you may find this site useful : http://www.kdnugget s.org/
What is your specific area of interest in data anlytics?

--- On Fri, 11/12/09, sujatha radhakrishnan <sujaradha@yahoo. com> wrote:

From: sujatha radhakrishnan <sujaradha@yahoo. com>
Subject: [Data Mining] (unknown)
To: datamining2@ yahoogroups. com
Date: Friday, 11 December, 2009, 9:08 AM

Hai,
I like to do research in datamining. It will be nice if someone let know about
the basics to be learned incase of beginners.

[Non-text portions of this message have been removed]

The INTERNET now has a personality. YOURS! See your Yahoo! Homepage.
http://in.yahoo. com/

[Non-text portions of this message have been removed]

[Non-text portions of this message have been removed]











[Non-text portions of this message have been removed]

Director, Marketing Mix Modeling
Chicago loop Agency
Base up to $125k + bonus
Local candidates only; US Citizen, Green Card, PR only

You will serve as a subject matter expert leading quantitative modeling and
produce actionable marketing mix analysis for firm's clients. The candidate
should be self directed with prior experience in developing models for a variety
of products. The position will report in to the Marketing Mix Practice Lead
within the Customer Intelligence Department.  This role has no direct reports.

The Position
> As an integral part of the marketing mix team, identify the business
objectives and financial specifics for marketing accountability specific to each
client project.
> Strong presentation skill set required of data findings in laymen to external
clients and internally across disciplines.
> Determine data sources and efficiency on spend of advertising dollars using
analytic skill set to plan and secure the highest return on investment; assess
data quality
> Apply deep understanding of mass media planning and buying, retail audits and
scanner data, in-store marketing, direct marketing, online media metrics and
elements in the marketing mix (including pricing, and distribution) to develop
appropriate modeling strategies
> Lead the data setup, statistical analysis and build marketing mix models –
this is a hands-on role.
> Derive key actionable insights and generate interactive marketing mix
optimization tools

Qualifications
Absolute "must have's" –mix modeling supporting syndicated marketing
applications; time series/forecasting of statistical/econometric modeling; 
expert SAS or SPSS; strong presentation skill set to external clientele (sr mgmt
to "C" suite) defending data and selling the importance of analytics

> Advanced degree with heavy quantitative coursework (e.g., marketing analytics,
statistics, math, economics)
> 8-10 years' experience in marketing analytics or related field such as
advertising, retail marketing, product marketing, direct marketing, online
marketing, loyalty marketing, etc.  Must have a strong background in
understanding marketing analytics.
> 3-5 years' experience in hands-on marketing mix modeling and time series
analysis with syndicated data sources such as Nielsen, IRI; brand health data
preferred
> strong quantitative skills and demonstrable experience in
statistical/econometric modeling of marketing  investment data
> Previous experience developing marketing models for a variety of products
(CPGs, durables etc.) and service providers (financial, insurance, telecom etc.)

Technical Skills
> Good grasp of time series predictive modeling, forecasting, media/channel
optimization and how they relate to marketing strategy
> Proficiency with SPSS/SAS, and advanced analytics required

Qualified candidate send cover letter and resume to:
Linda@...

Dear all,

I am studying the evolution of a weighted graph over time. This case I
am studying is a special case of the general graph evolution: the
network structure is fixed (both the nodes and the edges do not
change) and only the weights change over time.

Is there any work on visualizing such evolution of graphs? One extreme
is to visualize some feature of the graph over time (e.g. average
strength). The other extreme is visualizing the whole graph, but then
it is almost impossible to visualize the time dimension.

I thought of using some form of projection, like multi-dimensional
scaling or PCA, which raises the question of how to compute the
distance between two graphs. Edit-distance seems to be an overkill,
given that only the weights of the graph change. On the other hand I
can treat the whole graph as a vector of weights (since the network
structure does not change) and use euclidean distance or cosine
distance, but then I am ignoring the network structure all together in
computing the distance. Any suggestion other distance metric I should
consider?

Sherief

Hi Everyone,

Just a reminder to save the date: Predictive Analytics World conference, Feb.
16-17, 2010, San Francisco.

Includes keynote speakers Kim Larsen, Director Advanced Analytics at Charles
Schwab, and Andreas S. Weigend, Ph.D., Former Chief Scientist at Amazon.com.
Case studies presented by Amazon.com, AT&T, Charles Schwab, Google, IBM, PayPal
(eBay), U.S. Army, Visa, Walmart Financial Services, various U.S. government
agencies and more.

Three pre- and post-event workshops complement the core conference program.

For details on February's event, see our recent blog entry
http://www.predictiveanalyticsworld.com/blog/?p=98

For more info, visit http://www.predictiveanalyticsworld.com, e-mail us at
registration@... or call (718) 577-1202.

thanks --Elise Johnson, Predictive Analytics World

============================ CALL FOR PAPERS ============================

                11th International Conference on
             Electronic Commerce and Web Technologies
                            EC-Web 2010

               http://sisinflab.poliba.it/ecweb2010/

              		 University of Deusto
                      	    Bilbao, Spain
                      30 August - 3 September 2010

=========================================================================

EC-Web 2010

After the initial enthusiastic initiatives and investments and the
eventual bubble, Electronic Commerce has changed and evolved in a
well established and founded reality both from a technological point
of view and from a scientific one. Nevertheless, together with its
evolution, new challenges and topics have emerged as well as new
questions have raised related to many aspects of Electronic Commerce.

After the lesson learned during last years and following the successful
edition of EC-Web 2009, for its 11th edition EC-Web will try to provide
a clearer description of the Electronic Commerce universe focusing on
some relevant topics. The main focus is not only on Internet related
techniques and approaches. The aim of EC-Web 2010 is to cover also
aspects related to theoretical foundations of E-Commerce, Business
Processes as well as new approaches exploiting recently emerged
technologies and scenarios such as Semantic Web, Web services, SOA
architectures, mobile and ubiquitous computing, just to cite a few.
Due to their central role in any realistic e-commerce infrastructure
security and privacy issues are widely considered, without excluding
legal and regulatory aspects.

We encourage papers that present innovative solutions for classical
E-Commerce issues, such as e-negotiation, recommender systems,
secure payments, as well as for new emerging areas, such as
Computational and Search Advertising, Semantic Web, agent-based E-Commerce,
applied Web Services, applied soft computing, information retrieval and
information filtering techniques in web and/or e-commerce environments.

Although the conference seems naturally focused on computer science issues,
we welcome and encourage research contributions from economics, business
administration, law, sociology and other disciplines. In particular, papers
about web marketing and its non-technical aspects, as well as about social
aspects of e-commerce are encouraged. We also welcome papers reporting about

innovative applications and case studies in the field of E-Commerce and/or
Web
Applications, like, e.g., Electronic Voting and Sponsored web search.

In order to provide a better categorization and classification of its main
goals,
Ec-Web 2010 will be organized as a multi-track conference.
Each track will be organized as a mini-conference with corresponding
reference area
chairs. Even though the main focus of the conference concerns the
relationship
between E-commerce and emerging technologies, with strong attention toward
semantics aspects, contributions about theoretical issues as well as
cross-track
contributions are very welcome.

The topics of interest of the thematic tracks include, but are not limited
to:


TRACKS

* Agent-based Electronic Commerce
     o Matchmaking and Brokering Mechanisms
     o Auctions, Bargaining and Contracting
     o Automated Negotiation and Argumentation-based Negotiation
     o Preference Modelling
     o Interaction Protocols and Mechanism Design
     o Strategic and Tactical Behaviour
     o Market-Oriented Programming
     o Electronic Voting and Coalition Formation
     o Trust, Security and Legal Issues
     o E-Commerce Systems, Integrated Supply Chains, Virtual Organizations
and Commercial Applications
     o Agent Theories, Architectures and Languages

* Service Oriented E-Commerce and Business Processes
     o Business process modeling and analysis
     o SOA for business processes
     o Service-enabled workflow management systems
     o Cloud-assisted services for e-commerce
     o Virtual enterprises, supply chains, coalitions
     o Lightweight service and process composition
     o Process management as a service
     o (Inter-)Enterprise mashups for e-commerce
     o Cross-organizational process support, contracts
     o Compliance governance in distributed processes
     o Quality of Service in distributed business processes
     o Security and trust in distributed business processes
     o SOA- and cloud-based business models
     o Mobile e-commerce services and platforms
     o Online market places and e-service repositories

* Recommender Systems
     o Recommendation algorithms
     o Context-aware recommender systems
     o Recommender systems and social networks
     o Semantic Web technologies for recommender systems
     o Evaluation of recommender systems
     o User Issues in Recommender Systems
     o Serendipity in Recommender Systems
     o Decision theory and preferences
     o Recommender system user interfaces and conversational approaches
     o Explanations in recommender systems
     o Group recommender systems
     o Industrial application of recommendation technology
     o Consumer decision making and consumer buying behavior models
     o Computational advertising
     o Security and privacy
     o Trust in recommender systems

* E-Payment, Security and Trust
     o Security in Mobile and Ubiquitous E-Commerce Applications
     o Infrastructure for Secure Economic Transactions
     o Payment and authentication protocols
     o Micropayments
     o Access Control
     o Privacy-enhancing technologies
     o Information Hiding and Watermarking
     o Reputation and trust systems
     o Security and privacy issues in electronic commerce
     o E-Commerce Dependability
     o Transactions and Contracts
     o Legal and Regulatory Issues
     o Electronic voting


CONFERENCE CHAIRS

* Francesco Buccafurri - Universitŕ Mediterranea di Reggio Calabria
* Giovanni Semeraro - University of Bari "Aldo Moro"


TRACK CHAIRS

Service Oriented E-Commerce and Business Process
* Florian Daniel - University of Trento

Recommender Systems
* Marco de Gemmis - University of Bari "Aldo Moro"
* Pasquale Lops - University of Bari "Aldo Moro"

E-Payment, Security and Trust
* Barbara Masucci - University of Salerno

Agent-based Electronic Commerce
* Fernando Lopes - National Research Institute (INETI), Lisbon
* Helder Coelho - University of Lisbon


WEBMASTERS

Leo Iaquinta - University of Bari "Aldo Moro"
Cataldo Musto - University of Bari "Aldo Moro"
Fedelucio Narducci - University of Bari "Aldo Moro"


IMPORTANT DATES

- Submission of abstracts: March 16, 2010
- Submission of full papers: March 19, 2010
- Notification of acceptance: May 15, 2010
- Camera-ready copies due: June 10, 2010


SUBMISSION

Authors are invited to submit original research contributions in English,
following the LNCS format
(http://www.springer.com/computer/lncs?SGWID=0-164-7-72376-0).
Duplicate submissions are not allowed and will be rejected.
Papers should not exceed 12 pages (i.e. 12 LNCS formatted pages).
Submitted papers will be carefully evaluated based on originality,
significance,
technical soundness, and clarity of exposition.
All accepted papers will be published in "Lecture Notes in Computer Science"
(LNCS)
by Springer Verlag.
At least one author is required to attend the conference and present the
paper.
For paper registration, electronic submission and further information
please see http://sisinflab.poliba.it/ecweb2010/ and http://www.dexa.org.
_______________________________________________
Please do not post msgs that are not relevant to the database community at
large.  Go to www.cs.wisc.edu/dbworld for guidelines and posting forms. To
unsubscribe, go to https://lists.cs.wisc.edu/mailman/listinfo/dbworld

Call for Papers
 
14th European Conference on Digital Libraries, September 6-10, 2010, Glasgow, UK
 
http://www.research-conferences.com/viewdetail/319/14th-European-Conference-on-D\
igital-Libraries,-September-6-10,-2010,-Glasgow-.html




[Non-text portions of this message have been removed]

Hi,

   I am relative new to data mining .... i am working on Business intelligence
tools since 3 year ...my love for analytics started some 12 months back ....
currently i m pursuing distanc edu course at BITS,pilani.... I am looking for
some unsolved datamining problems which i can take for research ... i m at blore
.. if any reference to iisc be extreme usefull ....

Thanks
deepak
http://prdeepakbabu.wordpres.com

--- In datamining2@yahoogroups.com, "DR. N. B. Venkat Nagasuri"
<venkat_ritch@...> wrote:
>
> Hello,
> Do read book by Vipin Kumar.
> Cheers
>
> Prof NB Venkateswarlu
> B.Tech(SVU), M.Tech(IIT-Kanpur), Ph.D(BITS,Pilani), PDF(U of Leeds,UK)
> Visit My Home at: www.ritchcenter.com/nbv
> Visit My E-Learning Activity: www.ritchcenter.com/elearn
> My College Home: www.adityatekkali.com
> Authors of C and Data Structures:A Snap SHot Oriented Treatise Using Live
Engineering Examples, S Chand
>
>
>
>
> ________________________________
> From: vartika sanat <vartikasanat@...>
> To: datamining2@yahoogroups.com
> Sent: Fri, December 11, 2009 10:00:12 PM
> Subject: Re: [Data Mining] (unknown)
>
>
> Hi Sujatha,
>
> you may find this site useful  : http://www.kdnuggets.org/
> What is your specific area of interest in data anlytics?
>
> --- On Fri, 11/12/09, sujatha radhakrishnan <sujaradha@yahoo. com> wrote:
>
> From: sujatha radhakrishnan <sujaradha@yahoo. com>
> Subject: [Data Mining] (unknown)
> To: datamining2@ yahoogroups. com
> Date: Friday, 11 December, 2009, 9:08 AM
>
>
>
> Hai,
> I like to do research in datamining. It will be nice if someone let know about
the basics to be learned incase of beginners.
>
> [Non-text portions of this message have been removed]
>
> The INTERNET now has a personality. YOURS! See your Yahoo! Homepage.
http://in.yahoo. com/
>
> [Non-text portions of this message have been removed]
>
>
>
>
>
>
>
> [Non-text portions of this message have been removed]
>

Hi all,

which are appropriate values for Minimum confidence and minimum support values
for the Apriori algorithm? How could you tweak them? are they fixed values, or
they change during the running of the algorithm? If you have used this algorithm
before, which are the values you have set?

Thanks,
Lucian

[Please distribute, apologies for multiple postings]

-----------------------------------------------------------------------
           ICML 2010 2nd Call for Papers
              http://www.icml2010.org/
-----------------------------------------------------------------------

This is the second call for papers for the 27th International
Conference on Machine Learning (ICML-10), the premier conference
in the field. This year, ICML will be held in Haifa, Israel,
June 21-25, 2010, and will be co-located with the 23rd Conference
on Learning Theory (COLT-10).

The full call for papers, with all dates, details on the reviewing
process, etc. can be found at

         http://www.icml2010.org/cfp.html

Our invited speakers will be
       * Nir Friedman (Hebrew University)
       * Tom Mitchell (Carnegie Mellon University)
       * Duncan Watts (Yahoo! Research)

A special invited application track is planned which will
feature machine learning applications that have appeared in other
communities.

We would also like to remind you that we are making a strong effort to
attract papers not only in areas that have seen high submission
numbers in the past years, but also in areas that have not been
strongly represented recently. The list of area chairs at

         http://www.icml2010.org/areas.html

shows that there are competent reviewers for all areas of machine
learning.

The submission site and instructions are available at

         http://www.icml2010.org/sub.html

The submission deadline is February 1, 2010 at 11:59pm, Samoa time.
We are looking forward to your submissions.

If you have questions, don't hesitate to contact us at
<icml10.programchairs@...>.

   Thorsten Joachims
   Johannes Fürnkranz
   ICML Program Co-chairs

Waterfront International is a Toronto-based financial consulting firm,
specializing in developing computer based statistical trading
strategies.  Waterfront's selective hiring process considers only highly
talented individuals with a history of exceptional professional and
academic achievement, and solid real-world experience.


Primary Responsibilities:
* Perform financial market data research and analysis to identify
and resolve data issues using advanced data mining techniques.
* Develop proprietary data mining tools and applications.
* Develop predictive models.

Requirements of the Candidate include:
* PhD or Masters in mathematics, statistics or computer science
specializing in data mining.
* Experience with machine learning and knowledge discovery
techniques.
* Solid quantitative background with excellent analytical skills.
* Strong working knowledge of data mining and statistics.
* Must possess expert level C/C++ programming skills.
* Some financial experience desired but not required.
* Must be a strong self-starter and able to work well
independently.



Please submit your resume to Gagan Dhanjal
email:  recruiting@...


Gagan Dhanjal
Waterfront International Ltd
(F) 416-956-4730




[Non-text portions of this message have been removed]

CALL FOR PAPERS
                              and
               Call For Workshop/Session Proposals

                             DMIN'10
        The 2010 International Conference on Data Mining

                    http://www.dmin-2010.com

       Date and Location: July 12-15, 2010, Las Vegas, USA

You are invited to submit a full paper for consideration. All
accepted papers will be published in the 2010 DMIN conference
proceedings (in printed book form; later, the proceedings will
also be accessible online). Those interested in proposing a
workshop, special session, or a tutorial should refer to the
relevant sections that appear below.

SCOPE: Topics of interest include, but are not limited to, the following:

O  Data Mining Tasks
    - Regression/Classification
    - Time series forecasting
    - Segmentation/Clustering/Association
    - Deviation and outlier detection
    - Explorative and visual data mining
    - Web mining
    - Mining text and semi-structured data
    - Temporal and spatial data mining
    - Multimedia mining (audio/video)
    - Others

O  Data Mining Algorithms
    - Artificial neural networks
    - Fuzzy logic and rough sets
    - Decision trees/rule learners
    - Support vector machines
    - Evolutionary computation/meta heuristics
    - Statistical methods
    - Collaborative filtering
    - Case based reasoning
    - Link and sequence analysis
    - Ensembles/committee approaches
    - Others

O  Data Mining Integration
    - Mining large scale data
    - Distributed and grid based data mining
    - Data and knowledge representation
    - Data warehousing and OLAP integration
    - Integration of prior/domain knowledge
    - Metadata and ontologies
    - Agent technologies for data mining
    - Legal and social aspects of data mining
    - Others

O  Data Mining Process
    - Data cleaning and preparation
    - Feature selection and transformation
    - Attribute discretisation and encoding
    - Sampling and rebalancing
    - Missing value imputation
    - Model selection/assessment and comparison
    - Induction principles
    - Model interpretation
    - Others

O  Data Mining Applications
    - Bioinformatics/Medicine
    - Business/Industrial
    - Engineering
    - Military/Security
    - Social science
    - Others

O  Data Mining Software
    We particularly encourage submissions of industrial applications and
    case studies from practitioners. These will not be evaluated using
    solely theoretical research criteria, but will take general interest
    and presentation stringer into consideration.

O  Alternative and additional examples of possible topics include:
    Data Mining for Business Intelligence; Emerging technologies in data
    mining; Computational performance issues in data mining; Data mining
    in usability; Advanced prediction modelling using data mining; Data
    mining and national security; Data mining tools; Data analysis;
    Data preparation techniques (selection, transformation, and
    preprocessing); Information extraction methodologies; Clustering
    algorithms used in data mining; Genetic algorithms and categorization
    techniques used in data mining; Data and information integration;
    Microarray design and analysis; Privacy-preserving data mining; Active
    data mining; Statistical methods used in data mining; Multidimensional
    data; Automatic data cleaning; Data visualization; Theory and practice
    (knowledge representation and discovery); Knowledge Discovery in
    Databases (KDD); Uncertainty management; Data reduction methods; Data
    engineering; Content mining; Indexing schemes; Information retrieval;
    Metadata use and management; Multidimensional query languages and
    query; Multimedia information systems; Search engine query processing;
    Pattern mining; Applications (examples: data mining in education,
    marketing, finance and financial services, business applications,
    medicine, bioinformatics, biological sciences, science and technology,
    industry and government, ...).


USEFUL WEB LINKS

To see the DBLP list of accepted papers in the last offering of DMIN, go to:
http://www.informatik.uni-trier.de/~ley/db/conf/dmin/dmin2009.html

The main web site of DMIN'10 can be found at:
http://www.dmin-2010.com

The web site of WORLDCOMP'10 can be found at:
http://www.world-academy-of-science.org/


ACADEMIC CO-SPONSORS:

    Currently being prepared - The sponsors will include a number
    of active research labs and centers that have helped to shape
    our field. The Academic sponsors of the last offering of
    DMIN & WORLDCOMP included research labs and centers
    affiliated with United States Military Academy, Harvard
    University, MIT, Argonne National Lab., University of Illinois
    at Urbana-Champaign, University of Minnesota, University of
    Texas at Austin, Georgia Institute of Technology, George Mason
    University, Vienna University of Technology, University of
    Siegen, Russian Academy of Sciences, University of Iowa,
    SECLAB (Italy), University of North Dakota, Texas A&M
    University, National Institute for Health Research,
    International Society of Intelligent Biological Medicine,
    Academy of Biomedical Sciences and Technologies, and European
    Commission. For 2010, we will also include The Berkeley
    Initiative in Soft Computing/BISC of University of California,
    Berkeley (confirmed.) In recent offerings of WORLDCOMP/DMIN,
    corporate sponsors included: Google, Intel, Salford Systems,
    Element CXI, Synplicity, NIIT, SuperMicro, HPCNano, Council on
    Medical & Care Compunetics, Scientific Tech. Corp., HoIP, GridToday.


DMIN'10 Conference Chairs:

    Dr. Robert Stahlbock
    University of Hamburg, Germany
    conference-chair@...
    (General Conference Chair)

    Dr. Sven F. Crone
    Lancaster University, United Kingdom
    s.crone@...
    (Program Chair)


Members of the Steering Committee of WORLDCOMP 2010:

    (DMIN'10 is an important track of WORLDCOMP which is a federated
    event. What appears below is a partial list of members of the
    steering committee.)

    Prof. Hamid R. Arabnia
    Coordinator & General Co-Chair, WORLDCOMP 2010,
    Professor, Computer Science,
    Editor-in-Chief, The Journal of Supercomputing (Springer),
    Co-Editor/Board, Journal of Computational Science (Elsevier),
    Advisory Board, IEEE Technical Committee on Scalable Computing,
    The University of Georgia, Georgia, USA
    email: hra@...

    Dr. Selim Aissi
    Chief Strategist - Security, Manageability and Virtualization,
    Ultra Mobile Group, Intel Corporation, USA

    Prof. Ruzena Bajcsy
    Member, National Academy of Engineering,
    IEEE Fellow, ACM Fellow,
    Professor, Electrical Engineering & Computer Sciences
    University of California, Berkeley, California, USA

    Prof. Hyunseung Choo
    ITRC Director of Ministry of Information & Communication, Korea,
    Director, ITRC: Intelligent HCI Convergence Research Center, Korea,
    Director, Korea Information Processing Society,
    Assoc. Editor, ACM Transactions on Internet Technology,
    Assoc. Editor, Transactions on Computational Science, Springer-Verlag;
    Director, Korean Society for Internet Info. (KSII) + Society for Sim.;
    Sungkyunkwan University, Korea

    Prof. Andy Marsh
    Director HoIP (Healthcare over Internet Protocol),
    Secretary-General WABT (World Academy of Biomedical Science & Tech.),
    Vice-president ICET (Int'l Council for Engineering & Technology),
    Vice-president ICMCC (Int'l Council on Medical & Care Compunetics),
    Visiting Professor, University of Westminster, UK

    Prof. Lotfi A. Zadeh
    Member, National Academy of Engineering,
    IEEE Fellow, ACM Fellow, AAAS Fellow, AAAI Fellow, IFSA Fellow,
    Director, Berkeley Initiative in Soft Computing,
    Professor, University of California, Berkeley, USA


PURPOSE / HISTORY:

    DMIN'10 Conference is being held jointly (same location and dates)
    with a number of other research conferences (WORLDCOMP).
    WORLDCOMP is the largest annual gathering of researchers in computer
    science, computer engineering and applied computing. We anticipate
    to have 2,000 or more attendees from over 85 countries participating
    at WORLDCOMP Congress. A number of individual research tracks of
    the Congress have been held for many years; for example, PDPTA has
    been held annually since 1995 (PDPTA'10 is the 16th annual
    conference); ERSA has been held annually since 2001 (ERSA'10 is the
    10th annual conference); ICAI has been held annually since 1999
    (ICAI'10 is the 12th annual conference); DMIN has been held
    annually since 2003 (DMIN'10 is the 8th annual conference;
    originally it was offered as part of IKE). Other tracks of
    WORLDCOMP Congress have similar records.

    The motivation behind this federated congress is to assemble
    a spectrum of affiliated research conferences into a coordinated
    research meeting held in a common place at a common time. The
    main goal is to provide a forum for exchange of ideas in a
    number of research areas that interact. The model used to form
    DMIN facilitates communication among researchers from all
    over the world in different fields of computer science,
    computer engineering, applied computing, information science,
    and computational biology. Both inward research (core areas)
    and outward research (multi-disciplinary, inter-disciplinary,
    and applications) will be covered during the conference.
    DMIN makes concerted effort to reach out to participants
    affiliated with diverse entities (such as: universities,
    institutions, corporations, government agencies, and research
    centers/labs) from all over the world.

    DMIN'10 will be composed of research presentations, keynote
    lectures, invited presentations, tutorials, panel discussions,
    and poster presentations. In recent past, keynote/tutorial/panel
    speakers have included (as part of the federated event):
    Prof. David A. Patterson (pioneer/computer architecture, U. of
    California, Berkeley), Dr. K. Eric Drexler (known as Father of
    Nanotechnology), Prof. John H. Holland (known as Father of
    Genetic Algorithms; U. of Michigan), Prof. Ian Foster (known as
    Father of Grid Computing; U. of Chicago & ANL), Prof. Ruzena
    Bajcsy (pioneer/VR, U. of California, Berkeley), Prof. Barry
    Vercoe (Founding member of MIT Media Lab, MIT), Dr. Jim Gettys
    (known as X-man, developer of X Window System, xhost; OLPC),
    Prof. John Koza (known as Father of Genetic Programming,
    Stanford U.), Prof. Brian D. Athey (NIH Program Director, U. of
    Michigan), Prof. Viktor K. Prasanna (pioneer, U. of Southern
    California), Dr. Jose L. Munoz (NSF Program Director and
    Consultant), Prof. Jun Liu (Broad Institute of MIT & Harvard U.),
    Anousheh Ansari (CEO, Prodea Systems & first female private
    space explorer), and many other distinguished speakers.
    Tutorial speakers for data mining oriented tutorials have included
    Prof. Eamonn Keogh (U. of California,Riverside), Ashu M.G. Solo
    (Principal of Maverick Technologies America Inc.), Mikhail Golovnya
    (Senior Scientist, Salford Systems), Prof. Nitesh V. Chawla
    (U. of Notre Dame, USA), Dr. Peter Geczy (National Institute of
    Advanced Industrial Science and Technology (AIST), Japan),
    Prof. Asim Roy (Arizona State University), and Dr. Dan Steinberg
    (CEO of Salford Systems).
    To get a feeling about the events' atmosphere, see the
    2009 delegates photos available at:
    http://www.pixagogo.com/1672514104
    2008 delegates photos can be viewed at:
    http://www.pixagogo.com/8658134154


SUBMISSION OF PAPERS, PUBLICATION, INDEXING INFORMATION:

    Prospective authors are invited to submit their papers by
    uploading them to the DMIN'10 online paper collection and
    review system. Submissions must be uploaded by March 1, 2010
    and they must be in pdf format. Details (submission system,
    typesetting formats etc.) can be found on the DMIN'10 web site at:
    http://www.dmin-2010.com/submission.htm

    The length of the Camera-Ready papers (if accepted) will be
    limited to 7 (IEEE style) pages. Papers must not have been
    previously published or currently submitted for publication
    elsewhere. The first page of the draft paper should include:
    title of the paper, name, affiliation, postal address, and
    email address for each author. The first page should also
    identify the name of the Contact Author and a maximum of 5
    topical keywords that would best represent the content of
    the paper.

    Full papers will be evaluated for originality, significance,
    clarity, impact, and soundness. Each paper will be refereed
    by at least two experts in the field who are independent of the
    conference program committee. The referees' evaluations will
    then be reviewed by one member of the program committee who
    will recommend a decision to the chair of the track that
    the paper has been submitted to. The chair will make the
    final decision. Lastly, the final papers will be reviewed
    by one member of the program committee.

    All accepted papers will be published in the respective
    conference proceedings (in both, printed book form as well as
    online). The proceedings will be indexed in Inspec/IET/
    The Institute for Engineering and Technology, DBLP/Computer
    Science Bibliography, and others.) The printed proceedings
    will be available for distribution on site at the conference.

    In addition to the publication of the proceedings, selected
    authors will be invited to submit extended versions of their
    papers for publication in a number of research books being
    proposed/contracted with various publishers (such as, Springer,
    Elsevier, IOS, ...) - these books would be composed after the
    conference. Also, many chairs of sessions and workshops will
    be forming journal special issues to be published after the
    conference. For DMIN'10, it is planned to publish extended
    papers in a Special Issue in Annals of Information Systems
    focused on Web Mining.


PROPOSAL FOR ORGANIZING SPECIAL SESSIONS/WORKSHOPS:

    Each session will have at least 6 paper presentations from
    different authors (12 papers in the case of workshops). The
    session chairs will be responsible for all aspects of their
    sessions; including, soliciting papers, reviewing, selecting, ...
    The names of session chairs will appear as Associate Editors
    in the conference proceedings and on the cover of the books.

    Proposals to organize sessions should include the following
    information: name and address (+ email) of proposer, his/her
    biography, title of session, a 100-word description of the
    topic of the session, the relevance for DMIN), and a short
    description on how the session will be advertised (in most
    cases, session proposers solicit papers from colleagues and
    researchers whose work is known to the session proposer).
    Please email your session/workshop proposal to the DMIN'10
    Special Session Chair Gary M. Weiss via
    special-session-chair@... .
    We would like to receive the session proposals
    by January 30, 2010.


IMPORTANT DATES:

    Jan. 30, 2010:    Proposals for organizing sessions/workshops
    March 1, 2010:    Submission of papers (about 5 to 7 pages)
    March 25, 2010:   Notification of acceptance
    April 22, 2010:   Final papers + Copyright + Registration
    July 12-15, 2010: The 2010 International Conference on Data
                      Mining (DMIN'10)


MEMBERS OF PROGRAM AND ORGANIZING COMMITTEES:

    The Program Committee includes members of chapters of World
    Academy of Science (chapters: supercomputing; scientific
    computing; AI; imaging science; databases; simulation;
    software eng.; embedded systems; internet & web technologies;
    communications; computer security; & bioinformatics.) The
    Program Committee for DMIN'10 conference is currently
    being formed. Many who have already joined the committees
    of individual tracks are renowned leaders, scholars,
    researchers, scientists and practitioners of the highest
    ranks; many are directors of research labs., fellows of
    various societies, heads/chairs of departments, program
    directors of research funding agencies, deans and provosts.
    You can view the list of program committee of the last offering
    of DMIN at: http://www.dmin--2009.com/committees.htm
    Program Committee members are expected to have established
    a strong and documented research track record. Those
    interested in joining the Program Committee should email
    to the Program Chair (programme-chair@...), the
    following information for consideration/evaluation:
    Name, affiliation and position, complete mailing address,
    email address, and a one-page biography that includes research
    expertise.


LOCATION OF CONFERENCE:

    DMIN'10 will be held at Monte Carlo Resort, Las Vegas,
    Nevada, USA (with any overflows at other near-by hotels).
    This is a mega hotel with excellent conference facilities and
    over 3,000 rooms. It is minutes from the airport with 24-hour
    shuttle service to and from the airport. This hotel has many
    recreational attractions, including: waterfalls, spa, pools,
    sunning decks, Easy River, wave pool, nightly shows, many
    restaurants, ... The hotel is adjacent to CityCenter
    ( http://en.wikipedia.org/wiki/CityCenter ) which is the
    largest private development in the United States' history
    (costing over $11 Billion); this offers access to additional
    recreational and entertainment attractions. The negotiated
    room rate for conference attendees is very reasonable.

Director Analytics - NYC
Reports to VP of Marketing ˇV Retail.com
$100k +10-20% bonus
US Citizen, Green Card or PR Holder only; background ck required
Prefer local candidates but will offer relo

Job Overview:
The Director Analytics will provide in-depth analysis of company.com business
results and consumer behavior to improve sales, profitability and customer
value. Primary responsibilities include measuring the effectiveness of emails,
SEM and other marketing activities, creating and analyzing dashboard reports for
tracking of business results, database management and ensuring data integrity.

Focus on this role is a seasoned analytic person; strong SAS, SQL database
person that can fit into a marketing dept conducting research, analysis and
database ideas on how to best execute plans and campaigns.  Some degree of web
exposure is a plus

Responsibilities:
„X Assume leadership role of all online marketing and customer analytics and own
strategic development of online marketing database
„X Lead insight generation based on reporting and analysis
„X Identify strategic online trends and actionable customer insights based on a
clear understanding of business objectives ˇV retention, acquisition, purchase
frequency, cross-shopping, profitability, etc.
„X Analyze multi-channel results of online programs and customers
„X Develop modeling capabilities and analyses around customer segmentation,
campaign response and optimization
„X Develop ongoing KPI reports that monitor conversion rates, channel
attribution, shopping funnels and other website trends.  Ensure accuracy of all
data sources and timely delivery of reports.
„X Analyze sales promotion results including evaluation of incremental
sales/profit and present learnings and recommendations to management
„X Forecast traffic, conversion and demand plans for web business
„X Perform extensive data quality / data analysis to ensure integrity of
database for business use

Requirements:
„X BA/BS degree, Masters preferred in Mathematics, Economics or related field
„X At least 7 years of related work experience in database or marketing
analysis. Must have extensive experience in data analysis
„X Expert skills in writing complex SQL queries to analyze, manipulate data,
investigate data problems, develop and modify reports
„X Extensive experience with business intelligence systems such as Business
Objects and analysis tools such as SAS
„X Strong experience with CRM systems and relational databases
„X Strong conceptual and creative thinker
„X Strong data interpretation and communication skills; ability to summarize
complex findings clearly and concisely
„X Self-motivated, proactive, disciplined, fast learner and organized. Highly
flexible and adapts well to a rapidly changing environment
„X Must be detail-oriented
„X Solid understanding on web metrics and experience with web analytics and
measurement tools like Omniture or Coremetrics ˇV nice to have

Qualified candidates send cover letter and resume to Linda@...

Marketing Mix Modeler
3 month 1099 contract – Chicago loop
Local candidates to Chicago only

This is a 3 month on-site contract position for an Ad Agency in the loop.  You
will serve as a subject matter expert leading quantitative modeling and produce
actionable marketing mix analysis for firm's clients. The Contractor should be
self directed with prior experience in developing market mix models for a
variety of products. The position will report in to the Marketing Mix Practice
Lead within the Customer Intelligence Department.

The Position
> As an integral part of the marketing mix team, identify the business
objectives and financial specifics for marketing accountability specific to each
client project.
> Strong presentation skill set required of data findings in laymen to external
clients and internally across disciplines.
> Determine data sources and efficiency on spend of advertising dollars using
analytic skill set to plan and secure the highest return on investment; assess
data quality
> Apply deep understanding of mass media planning and buying, retail audits and
scanner data, in-store marketing, direct marketing, online media metrics and
elements in the marketing mix (including pricing, and distribution) to develop
appropriate modeling strategies
> Lead the data setup, statistical analysis and build marketing mix models
> Derive key actionable insights and generate interactive marketing mix
optimization tools

Qualifications
> Advanced degree with heavy quantitative coursework (e.g., marketing analytics,
statistics, math, economics)
> 8-10 years' experience in marketing analytics or related field such as
advertising, retail marketing, product marketing, direct marketing, online
marketing, loyalty marketing, etc.  Must have a strong background in market mix
modeling supporting marketing applications with syndicated research.
> At least 3-5 years' experience in hands-on marketing mix modeling and time
series analysis with syndicated data sources such as Nielsen, IRI; brand health
data preferred
> strong quantitative skills and demonstrable experience in
statistical/econometric modeling of marketing  investment data
> Previous experience developing marketing models for a variety of products
(CPGs, durables etc.) and service providers (financial, insurance, telecom etc.)
Technical Skills
> Good grasp of time series predictive modeling, forecasting, media/channel
optimization and how they relate to marketing strategy
> Proficiency with SPSS/SAS, and advanced analytics required

40 hr work week on-site in loop; 3 month project; start-time is 9 a.m.; no OT
Contract 1099 oppty – potential oppty to go full-time

Qualified candidate send cover letter and resume to:
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Call for Papers
=====================================================================
  -------------------------------------------------------------------

          The 2010 Time Series Forecasting Competition
               for Computationoal Intelligence

  2010 IEEE World Congress on Computational Intelligence (WCCI'10)
               July 18-23, 2010, Barcelona, Spain
  -------------------------------------------------------------------
=====================================================================


Join the 2010 Time Series Forecasting Competition for Computational Intelligence
at the
- 2010 IEEE World Congress on Computational Intelligence (WCCI'10) which
includes the
- 2010 IEEE International Joint Conference on Neural Networks (IJCNN'10))
   July 18-23, 2010, Barcelona, Spain

You are invited to participate in the NNCG competition on time series
forecasting with computational intelligence methods
(www.neural-forecasting-competition.com) and to
submit full papers that describe your submitted algorithm and its predictions
for publication at the 2010 IEEE WCCI conference (www.wcci2010.org), to be held
in Barcelona, Spain in July.


-------------------------------------------------------------------
Submissions to the new 2010 NN GC1 competition
-------------------------------------------------------------------
The competition data consist of 6 small datasets on transportation data
(available at www.neural-forecasting-competition.com), each with 11 time series
of a different time series frequency of yearly, quarterly, monthly, weekly,
daily, and hourly data. A competitor must submit predictions on at least one of
the 6 datasets (reduced set of 11 series) to be eligible to participate.
Competitors are encouraged to submit predictions on multiple datasets, and
ideally all 6 datasets (a complete set of 66 series). Two of the 6 datasets are
already available online, the other 4 datasets will be released on Sunday
17.01.2010.

Submissions of the predictions for all datasets are due June 14, 2010;
submissions of  full papers to be published in the IEEE proceedings of the 2010
WCCI conference must be received by January 31, 2010.

Please note that we have revised the competition format to better address some
issues raised by sponsors and co-organisers. All those participating in the
trial run of this competition in 2009, incl. the preliminary results on 2
datasets presented at the 2009 IJCNN session, are invited to submit predictions
and papers again.


-------------------------------------------------------------------
WCCI'10 Presentation & Publication on the new NN GC1 competition
-------------------------------------------------------------------
All those planning to submit predictions on at least one datasets, multiple
datasets or even all 6 of the datasets are invited to submit full papers
describing their algorithms, methodologies etc. for presentation at the 2010
IEEE International Joint Conference on Neural Networks (IJCNN'10, see
www.ijcnn2009.com) conference, held together simultaneously at the 2010 IEEE
World Congress on Computational Intelligence (WCCI'10). All accepted papers will
be eligible for oral presentation at the conference and for publication in the
conference proceedings. Authors may submit multiple abstracts for presentation
(maximum one per competition, see below).


-------------------------------------------------------------------
WCCI'10 Presentations on past NN3 & NN5 competitions
-------------------------------------------------------------------
In addition we also invite participants from the past NN3 and NN4 competitions
to submit abstracts and present their earlier submissions at the IJCNN'10
special session. Our aim is to provide those that have participated in previous
competitions at the IJCNN'07 and WCCI'08 or ISF'07/08 and DMIN'07/08
conferences, and that were unable to attend before, with the opportunity to
present their original methodology and possible extensions and revisions since
then. We hope this will disseminate best practices on how to predict time series
data of different time frequencies to a wider audience, in particular due to its
relevance for the corresponding datasets with similar time series frequency in
the 1st NN GC1.


-------------------------------------------------------------------
Paper Submission
-------------------------------------------------------------------
Please follow the paper guidelines of the IEEE IJCNN'10 conference located at
the official website at http://www.wcci2010.org/submission (to submit follow the
link at the bottom --> IJCNN submission). Papers should describe the algorithm
and methodology used to predict the time series . The title should indicate the
method used and contain the name of the competition (e.g. 'NN3', ‘NN5’ or 'NN
GC1' in the title). Papers will be peer-reviewed for relevance, originality,
significance, clarity and technical quality. The deadline for submission is
January 31st, 2010.


-------------------------------------------------------------------
Special Session Presentations
-------------------------------------------------------------------
Presentations are restricted to NN3, NN5 and NN GC1 competition participants
that have either submitted predictions on the NN3 or NN5 datasets in the past,
or that will submit predictions for the NN GC1 by the deadline, and that have
submitted full papers for review. Presentations held in the past at other NN3,
NN5 or NN GC conference sessions (e.g. ISF'08 and DMIN'08) would allow you to
also present at IJCNN'10 if the corresponding paper has not been published
before (or is sufficiently extended in the experiments or method). In order to
present at the NN GC1 competition session and to have your paper published those
accepted must register for the conference.

-------------------------------------------------------------------
Important Dates:
-------------------------------------------------------------------
31 January 2010:   Paper submission due
15 March 2010:     Notification of Acceptance
23 May 2010:       WCCI'10 & IJCNN'10 Early registration deadline
14 June 2010:      Predictions due though the competition website
18-23 July 2010:   IJCNN'10 conference - date for competition workshop tbd

For any questions please contact the competition chair, Dr. Sven F. Crone, at
competition-chair@.... We look forward to seeing
you in Barcelona!

Kind regards,
Sven F. Crone & Nikolaos Kourentzes

PS. Apologies for the delay in updating the competition information and
annoucement from last year - we have been in negotiations with a potential
corporate sponsor that may support the competition in various ways ... more
coming soon.

______________________________________________________
Dr. Sven F. Crone

Deputy Director, Lancaster Centre for Forecasting
Assistant Professor in Management Science (Lecturer)

Lancaster University Management School
Department of Management Science
Lancaster LA1 4YX, United Kingdom

Tel +44 (0)1524 592991direct
Tel +44 (0)1524 593867 department - Fax +44 (0)1524 844885
Internet http://www.lums.lancs.ac.uk - eMail    s.crone@...
_______________________________________________

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Dear all
Hi
I'm looking for master program in data mining in any european countaries .
Could you please give me some information about universities in Europ which
offer this program?
Please help me as soon as posssible
Best
Roza




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