[Apologies if you receive multiple copies of this message]

============================================================
Call for Papers

SDM'08: 2008 SIAM International Conference on Data Mining

Sponsored by Society for Industrial and Applied Mathematics (SIAM)

Atlanta, Georgia, USA
April 24-26, 2008.

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

Important Dates:

    Abstract Due: October 5, 2007
    Paper Due: October 12, 2007 11:59:59 PM, Pacific Standard Time
    Author Notification: December 21, 2007
    Camera Ready: January 25, 2008

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

For more details, please visit the conference web site at
http://www.siam.org/meetings/sdm08

Data Mining SIG
San Francisco Bay Area Chapter of ACM
  www.sfbayacm.org

Google News Personalization: Scalable Online Collaborative Filtering
Presented by Mayur Datar, Research Scientist, Google Inc.


Date: Wednesday,10 October 2007, 6:30 PM
Time: 6:30pm - Pizza & Beverages (Courtesy: Copacast), 7:00pm - talk

Location: SAP LABS, Building D, 3410 Hillview Avenue, Palo Alto, CA (Google Maps
| Yahoo! Maps | Mapquest)
Cost: Free and open to all who wish to attend, but membership is only $10/year.

                                              Please RSVP  if you plan to attend.
Topic
Several approaches to collaborative filtering have been studied but seldom have
the studies been reported for large (several millions of users and items) and
dynamic (the underlying item set is continually changing) settings. This talk
will focus on our approach to collaborative filtering for generating
personalized recommendations for users of Google News. We generate
recommendations using three approaches: collaborative filtering using MinHash
clustering, Probabilistic Latent Semantic Indexing (PLSI), and covisitation
counts. We combine recommendations from different algorithms using a linear
model. Our approach is content agnostic and consequently domain independent,
making it easily adaptible for other applications and languages with minimal
effort. The talk will describe our algorithms and system setup in detail, and
report results of running the recommendations engine on Google News.

About the Speaker
Mayur Datar works as a Research Scientist with Google Inc. His research
interests are in datamining, algorithms, databases and computer science theory.
Prior to joining Google, Mayur obtained his doctorate degree in computer science
from Stanford university and a Bachelor of Technology degree from I.I.T. Bombay.
He was awarded the President of India, Gold Medal for being the most outstanding
student of his graduating batch from I.I.T. Bombay. He has published several
papers in renowned conferences such as SIGMOD, VLDB, KDD, FOCS, SODA, WWW.

UPCOMING EVENTS:
Saturday, October 20: Professional Development Seminar: SOA, Service-Orientation
& Service-Oriented Computing  (SFBAY ACM Chapter Meeting, HP Labs, Cupertino)
Wednesday, October 17: Yahoo! Mail - designing a large Ajax application to be
presented by Greg Rosenberg, Yahoo! Inc. (SFBAY ACM Chapter Meeting, HP Labs,
Cupertino)
Wednesday, November 14: Data Mining SIG: Mapping and Aligning Sequences to
Genomes Across Different Species to be presented by Thomas Wu, Senior Scientist,
Bioinformatics, Genentech (SFBAY ACM Data Mining SIG Meeting, SAP Labs, Palo
Alto)
Wednesday, December 12: Data Mining SIG: Putting Engineering Back in Protein
Engineering to be presented by Sridhar Govindarajan, VP Informatics and Claes
Gustafsson, VP Marketing, DNA 2.0 (SFBAY ACM Data Mining SIG Meeting, SAP Labs,
Palo Alto)
================================================================================\
===



________________________________________________________________________________\
____
Yahoo! oneSearch: Finally, mobile search
that gives answers, not web links.
http://mobile.yahoo.com/mobileweb/onesearch?refer=1ONXIC

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

This is the first LinkedIn group for analytical professionals and
recruiters dealing with SAS, quant, biostatistics, statistics, data
mining, web analytics, computer science, physics, mathematics, six
sigma, econometrics, risk management, business intelligence,
statistical and predictive modeling, computational finance, AI,
database modeling, web mining, text mining, data analysis, electrical
engineering or operations research.

To join this group, or view all the members:
http://datashaping.com/linkedin.shtml

RapidMiner has that feature. There is a pre-processing filter called
Nominal2Numeric, which does like you ask.






--- In datamining2@yahoogroups.com, "Steve Yun" <steve.s.yun@...> wrote:
>
> I assume that by 'nominal values' you are talking about what is
> frequently referred to as 'categorical variables'. These variables are
> memebers of a set without any implicit order. For example the variable
> PETS can have values of CAT, DOG, HAMSTER,...
>
> The most common way to covert this to a numerical scale is to use
> dummy variables, aka indicator variables. Of course if you many
> different possible values, then the set of dummy variables needed to
> represent the nominal values becomes unwieldy. Unfortunately, I don't
> have an answer for you.
>
>
> --- In datamining2@yahoogroups.com, "rrr_kec" <rrr_kec@> wrote:
> >
> > hi
> >
> >   I would like to know whether nominal values can be mapped to
> numbers
> > so that their semantics is preserved upto some extent.
> >
> > Thanks in advance
> >
>

Thanks I solved that part of my problem. I found I can export the DB
as text, and then 1 week later, or 30 days later, I can export the DB
again with just the price, and I found that RapidMiner is able to read
the 1st text file, and also read just one column from the 2nd text
file (the price), and then I can generate the gain or loss % using
simple arithmetic as a pre-processing step internal to the
application. Then I can learn on that data.



--- In datamining2@yahoogroups.com, Sindharta Tanuwijaya
<zaraasran@...> wrote:
>
> Hi,
>
> Hm, maybe you can summarize your database every day, generating one
record for each day. You can calculate the summary using the mean of
the attribute values, or maybe only the last/newest value, depending
on your data.
>
> And then, since you have a record for each day, you can calculate
their differences, and let data mining software (WEKA?) find the
relations in your data. If you are not interested in how much the
increase/decrease is, you might consider binning the difference
values. (up, down, equal).
> I hope that could help
>
> Sindharta T.
>
>
>

Lead Healthcare Statistician
For nat'l leader in health insurance – downtown Milwaukee
Base $75k - $115k      + 15% bonus eligible
Note:  Candidate must be US Citizen, Green Card or PR.  $5k
relocation allocation
Work week = 38.75/hrs; 45 min/lunch; 3 wks vacation; 2 floaters; 9
scheduled holidays


A national leader in health insurance with a 114 year tradition of
innovation and excellence, has an opening for a Lead Healthcare
Statistician to join its Forecasting and Advanced Analytics
Department.  Position goal for this role is to mentor this person to
become the VP Analytics.

Position is open within Business Data & Informatics Department.
Candidate must have extensive analytical training and at least five
years of work experiences. The incumbent will be responsible for
collaborating in the designs and the studies that utilize advanced
statistical modeling approaches to address business issues.  The
areas of application include, but not limited to, risk scoring,
customer segmentation, pricing, underwriting, outcome assessment, and
business forecasting.

The applicant is expected to have:

• Comprehensive knowledge in linear/non-linear regressions,
cluster/factor analysis, survival analysis, and/or econometric time
series;
• Strong Proficiency in SAS (now utilizing V9) and MS offices
products;
• Knowledge and skills in database creation and data processing;
• Excellent communication and time management skills;
• A graduate degree in statistics, epidemiology, economics,
mathematics, or related quantitative fields. A Ph.D. degree is
preferred.
• At least five years of experience as a Statistician; one year of
work experience in insurance, healthcare, medical research, financial
services, or marketing industry.

Incumbent will be developed and mentored to move into a more senior
role within the company.  Preference is for this incumbent to be
mentored to move up and supervise 10 other statisticians.  Must be
able to talk theory with statisticians to mentor them into new ways
of using stats. This is a new position due to growth.




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

Linda Benton, President
Benton Search Associates, Inc.
847/223-8804
www.BentonSearch.com

Senior Statistician / Methodologist      Base $95k - $110k + bonus
For Int'l Market Research Pharma Company -- Fort Washington, PA
No relo allocation avail; must be US Citizen, PR, Green Card or TN
Visa Holder

Company is a supplier of research to national/international
Pharmaceutical firms.  This is a new position due to growth.  Core
competencies of job are strong people skills – choice modeling and
Bayesian analysis - multivariate statistician – modeler.  This
position reports into the VP of Quant.

Role will entail working on analysis projects with an internal
Project Manager.  Initially project begins with writing proposal on
analysis to be done and explaining this proposal back to the PM.  The
analytic portion of the role involves quantitative work to make sure
questionnaire matches methodology.  Presentation skill must be strong
so as to explain the results of the findings on the data back to both
the Project Manager and to the external client – must be able to take
quantitative analytic results and explain in laymen's terms.

Basic Qualifications:
• Proficient in designing and analyzing Multivariate statistical
techniques such as Choice Models , Bayesian analysis, Latent Class
Modeling, Max-Diff analysis, and Structural Modeling.
• Constructing simulators for choice models as well as data merges
for the analysis of secondary data. (VB and or Excel platforms)
• Participate in the research process from the initial request for
proposal in terms of writing and recommending analytical and
methodological criteria.
• Analysis, interpretation and presentation of  complex results to
internal managers and clients
• Must be able to function in a collaborative team environment and
contribute good inter-personal skills with wide variety of diversely
talented individuals.
• Comfortable interacting, mentoring and training project management
on statistical issues.
• Independent thinker who enjoys solving analytical problems outside
the obvious mathematical box.
• Excellent communication skills in both oral and written and
presentation modalities.
• Master's degree in Statistics or similar quantitative field of
study with at least 5-7- years of experience or  Ph.D. in Statistics
or similar quantitative field of study with at least 2 -3 years of
experience.
• Primary proficiency in SPSS and Excel , secondary in SAS
• Experience in the pharmaceutical or biotechnology field highly
preferred.



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

Linda Benton, President
Benton Search Associates, Inc.
847/223-8804
www.BentonSearch.com

Dir Analytical Consulting
Base $100k - $130k + 16% bonus
For Int'l Market Research Firm
Position located in either Paterson, NJ or Schaumburg, IL
No relo allocation; must be US Citizen, PR, or Green Card
background check and drug screening required

Reports into Exec Dir, Analytical Consulting
Fiscal '06 Revenues over $417 million; $410 million in `05
The Analytics Director is responsible for analysis of The Firm's
network events and marketing opportunities utilizing external data
provided by packaged goods manufacturers and internal data
(transactional and household level data managed by The Firm for
grocery and other retailers).  They also develop custom analyses of
frequent shopper card and scanner-based sales information in response
to manufacturer marketing needs and issues.

DUTIES AND RESPONSIBILITIES:
• Report to Executive Director, Analytical Services.
• Work with VP, Executive Directors, and Directors of Business
Development to build relationships with Brand Management and Market
Research.
• Coordinate analysis of The Firm events by ensuring that third
parties use the correct analytical methodology with the use of
program information provided by The Firm.
• Identify for external and internal customers the opportunities that
exist on the Firm's network of stores utilizing both store and
household level data.
• Mine extensive Firm Marketing databases to identify insights and
opportunities that drive the value proposition for Manufacturer
clients.
• Work with and train VP, Executive Directors, and Directors of
Business Development on the benefits of proper program design and how
it relates to volumetric impact in analysis.   Train on how to
present and position information in the sale of The Firm promotions.
• Utilize data from The Firm's transactional and household databases
to develop presentations for clients that provide business insights
and evaluation of promotional events.
• Work with corporate technical staff in the development of new
analytical products.  Make recommendations for new ways of utilizing
The Firm's internal databases.
• May manage Analysts and Senior Analysts.

QUALIFICATIONS:
EDUCATION:
Bachelor's degree required.  Advanced degrees in relevant areas of
focus a plus.

EXPERIENCE:
5-7 years packaged goods experience in an analytical capacity

SPECIAL SKILLS:
• Proficient in the use of IRI/ACNielsen data to analyze promotional
events and product trends
• Proficient in Microsoft Office software.
• Strong presentation and selling skills.
• Understanding of statistics.
• Customer Focus (customer orientation; responsiveness; relationship
building; explain complex methods; maintain integrity while meeting
customer needs)
• Communication (listening skills; speaking and presentation skills;
writing skills)
• Innovation (create and foster change; creative problem-solving –
analytic and strategic thinking; decision-making)
• Administrative Skills (establish plans; develop systems and
processes; work efficiently; detail orientation; multi-tasking;
prioritizing)
• Drive for Success (entrepreneurial; display initiative;
accountability/ownership)



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

Linda Benton, President
Benton Search Associates, Inc.
847/223-8804
www.BentonSearch.com

Statistical Analyst             new position due to growth
Reporting into VP Customer Insights – Analytics –
Fortune 100 Energy Firm – Baltimore
Base <$100k + bonus – contingent upon experience
Must be US Citizen, Green Card or PR; no relocation

Position Summary
In summary this role will need a strong analysis skillset/ customer
profiling and ability to write reports – what's working/what's not
working for their marketing campaign.  Candidate will need to find
the data, analyze it and tell the story in a PowerPoint
Presentation.  This will involve simple data analysis.
• Develop test and learn strategy for Marketing projects/campaigns –
holding control groups and coming up with leads for marketing
campaigns
• Support fact based decision making by testing prospect lists,
product offers, messaging etc.
• Support Analytics/Testing/Campaign Management efforts in Marketing
• Decisions and recommendations have profound impact on the entire
organization.
Essential Job Functions
• Design and execute Marketing and Company tests
• Hypothesis testing, statistical analysis, ROI analysis and in-depth
analysis of results
• Implement a best-in-class test and learn environment
• Coordinate with key stakeholders to ensure comprehensive results
analysis
• Write reports and present business insights to key stakeholders
• Measure campaign performance relative to control group performance
• Collect and analyze data for various Analytical and Testing
initiatives
• Function as a resource for statistical analysis/data mining requests
• Provide customer, product, and competitor insights as it relates to
Marketing and Company tests
• Use of SAS/SPSS for analytics and testing
• Good business skills and ability to initiate and grow relationships
within and outside the Department

Required Qualifications
• Bachelor's degree in Psychology, Mathematics, Operations Research,
Statistics or related area with 2-5 years analytics/testing work
experience using APT/SAS/SPSS.  Masters or graduate degree preferred.
Successful candidate will be highly motivated with a steep learning
curve and a desire to succeed.  No travel involved.

Ground floor opportunity to move up with this Fortune 100 firm.



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

Linda Benton, President
Benton Search Associates, Inc.
847/223-8804
www.BentonSearch.com

Statistical Analyst (supporting Analytics)  new position due to growth
Reporting into VP Customer Insights – Analytics –
Fortune 100 Energy Firm – Baltimore
Base <$100k + bonus – base contingent upon experience
Must be US Citizen, Green Card or PR; no relocation
Position Summary
This role requires a statistical background with basic regression
type analysis – defining behavior and attributes, score lists and
segmentation.  Must be able to understand statistics preferably
analytics within marketing.
• Support Analytics/Testing/Campaign Management efforts in Marketing
• Develop methodologies and conduct sophisticated analysis
• Function as a resource for statistical applications/research
techniques
• Decisions and recommendations have profound impact on the entire
organization.
Essential Job Functions
• Use data mining tools for supporting various Marketing campaigns
• Conduct customer, competitor and market analysis for targeting new
customers
• Conduct customer profiling, market segmentation, geographic
analysis, customer retention and customer acquisition projects using
advanced statistical modeling and analytical techniques
• Collect and analyze data in identifying market trends, competitor
actions, market share, penetration strategies and consumer
preferences
• Develop and maintain databases containing both internal and
external data
• Create, maintain and analyze survey/marketing database information
used in the development of marketing programs
• Design and develop database-marketing programs in supporting
various marketing groups
• Use of SAS/SPSS for analytics and Enterprise Miner/Clementine for
predictive modeling
• Good business skills and ability to initiate and grow relationships
within and outside the Department

Required Qualifications
• Bachelor's degree in Mathematics, Operations Research, Statistics
or related area with 2-5 years analytics/modeling work experience
using SAS/SPSS.  Masters or graduate degree preferred. Successful
candidate will be highly motivated with a steep learning curve and a
desire to succeed.
Ground floor opportunity to move up with this Fortune 100 firm.



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

Linda Benton, President
Benton Search Associates, Inc.
847/223-8804
www.BentonSearch.com

Vice President, Advanced Analytics    $150k - $180k + 20%
Pharma Quantitative Research Company ¡V Ft. Washington, PA  - approx
$10M/yr
Relocation allocation: candidate must be US Citizen, PR or Green Card
Holder

Position Overview
The Vice President Advanced Analytics is a highly experienced
quantitative market research professional who will oversee all
aspects of THE FIRM¡¦S¡¦ quantitative research design and execution, as
well as work on other key organizational initiatives as required as
the Head of the Advanced Methods Center of Excellence.  The VP is
responsible for ensuring that all quantitative research is designed
and conducted in the most efficient and effective manner and that it
is done consistently across all of THE FIRM¡¦S Groups at the highest
quality. In addition, the VP Advanced Analytics, in collaboration
with the CEO and President, is responsible for providing strategic
input on research methods and design, developing product service
offerings, prioritizing resources across multiple pharmaceutical
projects, and being a key participant on significant client pitches
and presentations.

This individual is expected to draw upon pharmaceutical experience
and contacts to help identify, develop and sell The Firm¡¦s products
and services.  The VP, Advanced Analytics works effectively with
internal Client Services, Project Management and research teams,
along with THE FIRM¡¦S Group subsidiaries, to ensure smooth and
efficient implementation of projects.

Key Responsibilities
„X  Member of management team
„X  Serve as Head of Advanced Methods Center of Excellence
„X  Serve as the functional expert and key resource on designing
leading edge advanced analytic solutions to both internal and
external clients
„X  Active participant on development and delivery of client pitches
and presentations as critical member of. staff
„X  Consult on final reports and deliverables to ensure appropriate
business recommendations and insight provided at highest level
„X  Ultimately responsible for quality control for all aspects of
quantitative market research conducted by COMPANY.
„X  Train and guide Client Services staff to ensure appropriate
knowledge of advanced analytics methodologies
„X  Keep abreast of developments in methodology and develop ¡§products¡¨
to maximize company¡¦s differentiation in the marketplace
„X  Responsible for analytic component of research design in proposals
„X  Develop appropriate experimental designs for choice/conjoint
modeling, estimate and report results from such models
„X  Provide interpretation of results from advanced/multivariate
analytics
„X  Presentation of results to external clients
„X  Train, guide, and mentor Advanced Analytics staff
„X  Maintains effective internal relationships and participates in
business development efforts with other subsidiaries as required
„X  Maintains open channels of communication, including voice and
email, during business hours and necessary non-business hours
„X  Will participate in project work/management, as required by work
volume and staff availability

Experience & Knowledge
„X  Minimum Masters degree or preferably Doctorate level in Marketing
Science/Marketing Research, Economics or Statistics
„X  Minimum of 15 years experience in market research with a minimum
of 8 years of demonstrable successful supplier-side experience
including 5 -10 years experience within an Advanced Analytics or
equivalent group (Management Science, Data Modeling etc.)
„X  Extensive knowledge of pharmaceutical markets; client-side
experience in Market Research leadership role a plus
„X  Proven track record in people management and development
„X  Established network of contacts with senior pharmaceutical
marketers and market researchers, and a proven track delivering and
managing multi-million dollar revenue numbers

Skills/Attributes
„X  High level of proficiency with Microsoft Office, particularly
Excel, PowerPoint and Word
„X  Advanced to Expert level abilities in either SAS or SPSS
„X  Experience with one or more of the following programs is a plus:
Latent Gold, Amos, Hierarchical Bayes module of Sawtooth Software
„X  Familiarity with recent developments in experimental design
methods for choice modeling is desirable but a lack in this area may
be offset by expertise in other relevant areas
„X  Familiarity with designing and executing segmentation projects in
the pharmaceutical market place
„X  Ability to translate clients¡¦ business issues into market research
solutions
„X  Available to travel 30% of time



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

Linda Benton, President
Benton Search Associates, Inc.
847/223-8804
www.BentonSearch.com

Sr. Vice President, Analytics & Business Development  - Healthcare
For Global Market Research Firm – Parsippany, NJ
Base low $200k + bonus; full relo
Must be US Citizen, PR or Green Card Holder

As the Sr. VP, Healthcare Analytics & Business Development, you will
lead the acquisition of new clients across healthcare industries. We
are seeking a strategic thinker who has a proven background in
identifying healthcare business-building opportunities and transform
these into outstanding top- and bottom-line business results. You
have a rich understanding of the healthcare research business, both
qualitative and quantitative (come from an analytical and statistical
skill set), that will allow you to make significant contributions to
business planning and execution. You have the tenacity to build a
business,, with a current client or via mining and penetrating new
accounts. You have a passion for service, for ensuring that you and
your team deliver the highest quality healthcare analytic solutions
that provide optimal strategic value to your customers.

The person occupying this position is responsible for overall
management and solution delivery in their assigned client
engagements. He/she oversees the day-to-day work of a group of
analytic consultants and analysts that develop and present
analytic/data mining healthcare solutions to clients. He/she owns and
is responsible for managing the client relationship and ensuring that
all work is developed satisfactorily, delivered on time and on
budget.  Must have proven successes and business contacts in selling
analytic solutions within healthcare.  Role will entail healthcare
business development and a strong analytical/data mining background.
A team of staff will support the hands-on analytics of new business
development brought in.  Job responsibility is that of a senior
person—role will be to understand and build client healthcare
business and develop analytic solutions and strategies for them.

Primary Responsibilities:
• Manages the overall healthcare business development relationship
within a client or group of clients, including identifying
opportunities for applying healthcare analytics, proposing new
business, building analytical solutions, managing to client budgets,
delivering and implementing solutions, and documenting work to ensure
proper archiving and knowledge transfer.
• Manages project teams of analysts and consultants who are
developing healthcare analytical and data mining solutions to
understand key business behaviors such as: customer acquisition,
product up-sell, customer retention, lifetime value, technology
adoption, channel preferences, customer satisfaction and loyalty
drivers, creditworthiness and payment patterns, etc.  Provides
project-specific guidance to consultants and analysts.
• Consults heavily with business users when designing or proposing
new solutions, to ensure that healthcare analytical solutions are
tailored to business needs and will support or result in actionable
customer strategies.
• Presents results to healthcare clients, consults heavily in
implementing healthcare analytic solutions, and measures the value of
analytical solutions to reinforce the value proposition of data
mining.
• Participates in the evaluation and selection of external data
overlays for analysis and modeling purposes.  Consults with clients
on capturing and leveraging customer data across areas of the
business.
• Build staff of analytic modelers.

Requirements for position:
Education: BA, BS required; MS, MBA or PhD preferred
Preferred disciplines include Economics/Econometrics, Statistics,
Operations Research, Industrial Engineering, Finance or Mathematics;
or Business Administration, Marketing or Management with strong
quantitative focus.

Practical Work Experience:
At least 10 years applied experience in any of the following areas:
• Marketing & Marketing Analysis
• Healthcare Business Development
• Statistical Model development
• Data Mining

Related Knowledge Base:
• General project management skills
• Personnel management skills
• Ability to show value of analytics within business processes
• Knowledgebase and understanding of following analytical concepts:
Regression (linear, logistic, multinomial, censored, Cox/proportional
hazards)
Segmentation and clustering
Decision tree analysis
Neural networks and genetic algorithms
Mathematical programming and optimization
Structural equations modeling
Bayesian analysis
Principal component analysis
Conjoint analysis
Time series analysis and forecasting, smoothing techniques
• Information design/presentation development
• Ability to implement analytics in business processes
The Sr. VP Analytics & Business Development reports to the EVP.



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

Linda Benton, President
Benton Search Associates, Inc.
847/223-8804
www.BentonSearch.com

Sr. Vice President, Analytics & Business Development  - Healthcare
For Global Market Research Firm – Parsippany, NJ
Base low $200k + bonus; full relo
Must be US Citizen, PR or Green Card Holder

As the Sr. VP, Healthcare Analytics & Business Development, you will
lead the acquisition of new clients across healthcare industries. We
are seeking a strategic thinker who has a proven background in
identifying healthcare business-building opportunities and transform
these into outstanding top- and bottom-line business results. You
have a rich understanding of the healthcare research business, both
qualitative and quantitative (come from an analytical and statistical
skill set), that will allow you to make significant contributions to
business planning and execution. You have the tenacity to build a
business,, with a current client or via mining and penetrating new
accounts. You have a passion for service, for ensuring that you and
your team deliver the highest quality healthcare analytic solutions
that provide optimal strategic value to your customers.

The person occupying this position is responsible for overall
management and solution delivery in their assigned client
engagements. He/she oversees the day-to-day work of a group of
analytic consultants and analysts that develop and present
analytic/data mining healthcare solutions to clients. He/she owns and
is responsible for managing the client relationship and ensuring that
all work is developed satisfactorily, delivered on time and on
budget.  Must have proven successes and business contacts in selling
analytic solutions within healthcare.  Role will entail healthcare
business development and a strong analytical/data mining background.
A team of staff will support the hands-on analytics of new business
development brought in.  Job responsibility is that of a senior
person—role will be to understand and build client healthcare
business and develop analytic solutions and strategies for them.

Primary Responsibilities:
• Manages the overall healthcare business development relationship
within a client or group of clients, including identifying
opportunities for applying healthcare analytics, proposing new
business, building analytical solutions, managing to client budgets,
delivering and implementing solutions, and documenting work to ensure
proper archiving and knowledge transfer.
• Manages project teams of analysts and consultants who are
developing healthcare analytical and data mining solutions to
understand key business behaviors such as: customer acquisition,
product up-sell, customer retention, lifetime value, technology
adoption, channel preferences, customer satisfaction and loyalty
drivers, creditworthiness and payment patterns, etc.  Provides
project-specific guidance to consultants and analysts.
• Consults heavily with business users when designing or proposing
new solutions, to ensure that healthcare analytical solutions are
tailored to business needs and will support or result in actionable
customer strategies.
• Presents results to healthcare clients, consults heavily in
implementing healthcare analytic solutions, and measures the value of
analytical solutions to reinforce the value proposition of data
mining.
• Participates in the evaluation and selection of external data
overlays for analysis and modeling purposes.  Consults with clients
on capturing and leveraging customer data across areas of the
business.
• Build staff of analytic modelers.

Requirements for position:
Education: BA, BS required; MS, MBA or PhD preferred
Preferred disciplines include Economics/Econometrics, Statistics,
Operations Research, Industrial Engineering, Finance or Mathematics;
or Business Administration, Marketing or Management with strong
quantitative focus.

Practical Work Experience:
At least 10 years applied experience in any of the following areas:
• Marketing & Marketing Analysis
• Healthcare Business Development
• Statistical Model development
• Data Mining

Related Knowledge Base:
• General project management skills
• Personnel management skills
• Ability to show value of analytics within business processes
• Knowledgebase and understanding of following analytical concepts:
Regression (linear, logistic, multinomial, censored, Cox/proportional
hazards)
Segmentation and clustering
Decision tree analysis
Neural networks and genetic algorithms
Mathematical programming and optimization
Structural equations modeling
Bayesian analysis
Principal component analysis
Conjoint analysis
Time series analysis and forecasting, smoothing techniques
• Information design/presentation development
• Ability to implement analytics in business processes
The Sr. VP Analytics & Business Development reports to the EVP.


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

Linda Benton, President
Benton Search Associates, Inc.
847/223-8804
www.BentonSearch.com

Statistical Analyst/Sr Statistical Analyst
Int'l Market Research Firm – Cincinnati
$60k's +; will relo
Must be US Citizen, Green Card or PR

Renowned Int'l Market Research firms is seeking solid statistical /
analytical skills, good communication skills with candidates having
the business savvy to talk with clients.  Must be smart, experienced
in analytical / statistical topics: conjoint, choice, segmentation,
regression.  Candidate must have current experience within a Market
Research setting or in a similar type of role using these skills;
Articulate; Can conduct analysis, do report writing, have client
interaction.  They need to think like a business person.  The Firm
is well known as a full-service custom marketing research company
with a reputation for expertise in research design, execution,
analysis and interpretation of results of complex studies.

Analyst or Senior Analyst within Decision Sciences
Responsibilities:
The Firm is currently accepting resumes for the position of Analyst
or Sr. Analyst – providing data analysis and related consultation to
clients. More specifically, analysts serve as internal consultants on
research design and they apply statistical and analytical techniques
to survey research data. Project involvement includes participating
in research design, analyzing data and interpreting results, creating
analytical reports and presentations, presenting findings, and
providing post hoc analytical consultation. The Analyst assumes
ownership for all analysis and reporting tasks, marshaling
appropriate resources and delegating tasks as necessary. Additional
responsibilities include participating in, and periodically leading,
internal analytical training sessions.
Qualifications:
The successful candidate will have a Master's degree in Business
Administration, Quantitative Analysis, Marketing, Psychology, or a
closely related field plus a minimum of one year of related
professional work experience. Experience working for a supplier in an
analytical or project management function with report writing
responsibilities is ideal. The Analyst also requires clear
quantitative expertise; qualified individuals will have had exposure
to or experience applying many of the following techniques in a
business setting: statistical significance testing, multivariate
analysis techniques such as factor analysis and cluster/segmentation
analysis, conjoint and discrete choice analysis, various types of
regression analysis, and structural equation modeling. The successful
candidate will also have outstanding written and oral communication
skills. Proficiency in PowerPoint, Excel, Word, and SPSS for Windows
is required.

Benefits:
The selected individual will receive a competitive salary (base plus
incentives) and will be eligible for our complete flexible benefits
package, which includes health insurance, dental insurance, life
insurance, paid vacation, paid holidays, paid sick time, short-term
disability coverage, long-term disability coverage, educational
assistance, 401(k) savings, and employee stock ownership. As an
employee owner you will share in the company's success!





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

Linda Benton, President
Benton Search Associates, Inc.
847/223-8804
www.BentonSearch.com

--- In datamining2@yahoogroups.com, "rrr_kec" <rrr_kec@...> wrote:
>   I would like to know whether nominal values can be mapped to numbers
> so that their semantics is preserved upto some extent.

The use of dummy variables has already been mentioned by another
respondent.  Another possibility is to replace the nominal values with
the mean of the target variable for cases with that nominal value.

To illustrate, consider a data set which (among other things) contains
a nominal variable, "Fruit" with possible value "Apple", "Orange" and
"Coconut", and the target variable is a number.  For "Apple" cases,
the new variable will contain the average target value across all
"Apple" cases.  For "Orange" cases, the new variable will contain the
average target value across all "Orange" cases, and so forth.  This
method can be used for binned numeric variables as well, and (given
certain assumptions) allows handling of missing values (simply as one
more class).  Note, too, that this will work with numeric targets and
nominal targets with 2 distinct values (0 and 1).


-Will Dwinnell
http://matlabdatamining.blogspot.com/

Hi everybody, Can anyone tell me where can I find a credit card fraud dataset.

Thanks a lot

Ivan Aquino
National University of Engineering
Peru









________________________________________________________________________________\
____
Sé un Mejor Amante del Cine
¿Quieres saber cómo? ¡Deja que otras personas te ayuden!
http://advision.webevents.yahoo.com/reto/entretenimiento.html

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

VP, Location Analytics - San Diego
For marketing info resources firm
mid $100k's + 15%; + relo
Must be US Citizen, Green Card or PR

Firm is seeking a Vice-President of Location Analytics to drive the
strategy, methodology and deliverables of the company's location
analysis solutions.

Key Responsibilities:
•  Develop and implement a strategic plan for the location analysis
offerings that supports the overall corporate strategy.
•  Provide leadership and overall direction to the location analysis
team.
•  Ensure the location analysis solutions are delivering value to the
client base by addressing their site and market business needs.
•  Manage the effectiveness and efficiencies of the group's
operational activities.
•  Determine the appropriate methodologies that will optimize value
for our client base.
•  Work closely with Senior Management to ensure the activities of
the group are in alignment with the strategic, financial and
operational objectives of the firm.
•  Coordinate the group's activities with key internal stakeholders
such as Analytical Consulting Services, Field Sales and Service,
Project Management, etc.
•  Engage directly with clients on key or complex projects; provide
visibility to client senior management.

Requirements:
•  BS degree in Statistics, Psychology, or Economics, Masters or PhD
preferred
•  7-10 years of management and/or consulting experience in modeling
or analytical services, or market research
•  Absolutely must have - 5+ years of experience with spatial
analysis and geographic information systems.
•  Experience identifying and defining highly complex business
challenges, crafting analytical solutions, managing resources to pro
duce solutions
•  Ability to build and maintain a high-performing team of
professionals
•  Ability to translate broad strategy into specific actions and plans
• Successful capacity planning and project management capabilities,
including the ability to adjust project plans as necessary
• Strong internal drive to exceed customer expectations

This person supports the location analytics division and will have
about 6 direct reports. It's not a new position but an upgraded
position because the firm needs someone more strategic. This person
will report to the SVP of Product/Project Management and Analytics -
on the senior team and reports to the President.  Ideally they are
looking for someone with a strong retail/restaurant/real estate
background (maybe someone who worked for Gap or Target or something
like that in the real estate area). The firm needs someone who has
experience with site analysis but a lot of experience with market
planning from a client/business angle in a real world environment.



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

Linda Benton, President
Benton Search Associates, Inc.
847/223-8804
www.BentonSearch.com

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Editorial

	 A special issue on applications of ensemble methods Page 1
Belur V. Dasarathy
	 Applications of ensemble methods Pages 2-3
Nikunj C. Oza and Kagan Tumer

Regular papers
	 Classifier ensembles: Select real-world applications Pages 4-20
Nikunj C. Oza and Kagan Tumer

	 Methods for person identification on a pressure-sensitive floor:
Experiments with multiple classifiers and reject option Pages 21-40
Jaakko Suutala and Juha Röning

	 A new boosting algorithm for improved time-series forecasting with
recurrent neural networks Pages 41-55
Mohammad Assaad, Romuald Boné and Hubert Cardot

	 Dynamic integration of classifiers for handling concept drift Pages 56-68
Alexey Tsymbal, Mykola Pechenizkiy, Pádraig Cunningham and Seppo Puuronen

	 Intrusion detection in computer networks by a modular ensemble of
one-class classifiers Pages 69-82
Giorgio Giacinto, Roberto Perdisci, Mauro Del Rio and Fabio Roli

	 An ensemble based data fusion approach for early diagnosis of
Alzheimer's disease Pages 83-95
Robi Polikar, Apostolos Topalis, Devi Parikh, Deborah Green, Jennifer
Frymiare, John Kounios and Christopher M. Clark

	 Ensemble methods for anomaly detection and distributed intrusion
detection in Mobile Ad-Hoc Networks Pages 96-119
João B.D. Cabrera, Carlos Gutiérrez and Raman K. Mehra

	 Using classifier ensembles to label spatially disjoint data Pages 120-133
Larry Shoemaker, Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer
and W. Philip Kegelmeyer

Finding FUN in FUsioN

	 Finding FUN in FUsioN - XXX Page 134

	 Reviewers (2006) – A note of appreciation Pages 135-137
	 Articles in Press - available online Pages 138-139

AoA

Good morning to every one. I am the student of MS
class and I want to do reserach in data mining.I will
be very helpful for me to get some help from u people
for choosing the right topic in data mining.

regrads

Tasleem


__________________________________________________
Do You Yahoo!?
Tired of spam?  Yahoo! Mail has the best spam protection around
http://mail.yahoo.com

hi....
where do you study?


----- Original Message ----
From: Din Tasleem <tasleemd@...>
To: datamining2@yahoogroups.com
Sent: Wednesday, October 24, 2007 7:59:49 AM
Subject: [Data Mining] data mining reserach topic for degree requirment

AoA

Good morning to every one. I am the student of MS
class and I want to do reserach in data mining.I will
be very helpful for me to get some help from u people
for choosing the right topic in data mining.

regrads

Tasleem

____________ _________ _________ _________ _________ __
Do You Yahoo!?
Tired of spam? Yahoo! Mail has the best spam protection around
http://mail. yahoo.com



__________________________________________________
Do You Yahoo!?
Tired of spam?  Yahoo! Mail has the best spam protection around
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[Non-text portions of this message have been removed]

Dear Tasleem,

   There is extensive use of statistics in data mining. You can do
interdisciplinary study of statistics and data mining technieques. You can also
think for computational modeling of data mining using statistical techiniques.

   - Kishor

a b <ali_tehran_iran_2000@...> wrote:
           hi....
where do you study?

----- Original Message ----
From: Din Tasleem <tasleemd@...>
To: datamining2@yahoogroups.com
Sent: Wednesday, October 24, 2007 7:59:49 AM
Subject: [Data Mining] data mining reserach topic for degree requirment

AoA

Good morning to every one. I am the student of MS
class and I want to do reserach in data mining.I will
be very helpful for me to get some help from u people
for choosing the right topic in data mining.

regrads

Tasleem

____________ _________ _________ _________ _________ __
Do You Yahoo!?
Tired of spam? Yahoo! Mail has the best spam protection around
http://mail. yahoo.com

__________________________________________________
Do You Yahoo!?
Tired of spam? Yahoo! Mail has the best spam protection around
http://mail.yahoo.com

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






---------------------------------
  Did you know? You can CHAT without downloading messenger.  Click here

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

Dear,

Is there any site that providing a sequential dataset?

Best Regards,
Nuruddin Arroniry
=========================================
Departement Of Informatics Engineering
Sepuluh November Institute of Technology
Surabaya, Indonesia
YM_id : nuru_13
Blog: setanalas.wordpress.com

Director Analytical Consulting
Base $100k - $130k + 16% bonus
For Int'l Market Research Firm
Positions located in Saddle Brook, NJ; Irvine, CA and Tampa, FL
No relo allocation; must be US Citizen, PR, or Green Card
background check and drug screening required

Reports into Exec Dir, Analytical Consulting
Fiscal '06 Revenues over $417 million; $410 million in `05
The Analytics Director is responsible for analysis of The Firm's
network events and marketing opportunities utilizing external data
provided by packaged goods manufacturers and internal data
(transactional and household level data managed by The Firm for
grocery and other retailers).  They also develop custom analyses of
frequent shopper card and scanner-based sales information in response
to manufacturer marketing needs and issues.  Strong client facing
experience with a strong understanding of statistics needed – hands-
on statistics not necessary for NJ position; CA & Tampa require more
hands-on statistics background.

DUTIES AND RESPONSIBILITIES:

•  Report to Executive Director, Analytical Services.
•  Work with VP, Executive Directors, and Directors of Business
Development to build relationships with Brand Management and Market
Research.
•  Coordinate analysis of The Firm events by ensuring that third
parties use the correct analytical methodology with the use of
program information provided by The Firm.
•  Identify for external and internal customers the opportunities
that exist on the Firm's network of stores utilizing both store and
household level data.
•  Mine extensive Firm Marketing databases to identify insights and
opportunities that drive the value proposition for Manufacturer
clients.
•  Work with and train VP, Executive Directors, and Directors of
Business Development on the benefits of proper program design and how
it relates to volumetric impact in analysis.   Train on how to
present and position information in the sale of The Firm promotions.
•  Utilize data from The Firm's transactional and household databases
to develop presentations for clients that provide business insights
and evaluation of promotional events.
•  Work with corporate technical staff in the development of new
analytical products.  Make recommendations for new ways of utilizing
The Firm's internal databases.
•  May manage Analysts and Senior Analysts.

QUALIFICATIONS:

EDUCATION:
Bachelor's degree required.  Advanced degrees in relevant areas of
focus a plus.

EXPERIENCE:
5-7 years packaged goods experience in an analytical capacity

SPECIAL SKILLS:
•  Proficient in the use of IRI/ACNielsen data to analyze promotional
events and product trends
•  Proficient in Microsoft Office software.
•  Strong presentation and selling skills.
•  Understanding of statistics.
•  Customer Focus (customer orientation; responsiveness; relationship
building; explain complex methods; maintain integrity while meeting
customer needs)
•  Communication (listening skills; speaking and presentation skills;
writing skills)
•  Innovation (create and foster change; creative problem-solving –
analytic and strategic thinking; decision-making)
•  Administrative Skills (establish plans; develop systems and
processes; work efficiently; detail orientation; multi-tasking;
prioritizing)
•  Drive for Success (entrepreneurial; display initiative;
accountability/ownership)


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

Linda Benton, President
Benton Search Associates, Inc.
847/223-8804
www.BentonSearch.com

Apologies for multiple copies due to cross postings. Please send to
interested colleagues and students


CALL FOR PAPERS

----------------------------------------------------------------------
Third International Workshop "Dependability Aspects on Data
WArehousing  and Mining applications" DAWAM 2008.

http://www.ares-conference.eu/conf/ --> Workshops -->DAWAM

http://www.ares-conference.eu/conf/index.php?
option=com_content&task=view&id=35
----------------------------------------------------------------------
in conjunction with The Third International Conference on
Availability, Reliability and Security - ARES 2008
(http://www.ares-conference.eu/conf/)
March 4th â€" 7th, 2008
Polytechnic University of Catalonia, Barcelona, Spain


Overview
--------
Nowadays, the rapid growth of information technologies has brought
tremendous opportunities for data sharing, integration, and analysis
across multiple distributed, heterogeneous data sources. In the past
decade, data warehousing and mining are the well-known technologies
used for data analysis and knowledge discovery in vast domain of
applications.

Data mining technology has emerged as a means of identifying
patterns and trends from large quantities of data. Data mining has
used a data warehousing model of gathering all data into a central
site, then running an algorithm against that data.

A growing attention has been paid to the study, development and
application of data warehousing and mining. Nevertheless,
dependability aspects in these applications such as availability,
reliability, integrity, privacy, and security issues are still being
investigated. For example, in data warehousing applications, privacy
considerations may prevent the approach of collecting data into the
centralized warehouse because each data source has different privacy
policy. Furthermore, the complexity of security increases as
different sources of information are combined. Reliable, consistent
and trustworthy of information are also significant requirements in
data warehousing applications. Data mining has been shown to be
beneficial in confronting various types of attacks to computer
systems such as fraud detection, intrusion prevention. In some
applications, e.g. clinic information system, government management,
business competitive information, it is required to apply the mining
algorithms without observing the confidential data values thus
demands the privacy preservation. There are also many challenging
issues that need further investigation in the context of data mining
from both privacy and security perspectives such as mining of
imbalanced data, bioinformatics data, streaming data, ubiquitous
computing data, grid computing data etc.

The goals of this workshop are to bring together users, engineers and
researchers (from industry and academy) alike to present their recent
work, discuss and identify problems, synergize different views of
techniques and policies, and brainstorm future research directions on
various dependability aspects of data warehousing and data mining
applications. We strongly encourage researchers and practitioners
with interest in the areas of reliability, availability, privacy and
security, databases, data warehousing, data mining, and statistics
to submit their experience, and/or research results.

Topics related to any of dependability aspects in data warehousing
and mining, theory, systems and applications are of interest. These
include, but are not limited to the following areas:

· Dependability and fault tolerance
· High Availability and Disaster Recovery
· Survivability of evaluative systems
· Reliability and Robustness Issues
· Accuracy and reliability of responses
· Reliable and Failure Tolerant Business Process Integration
· Reliable Event Management and Data Stream Processing
· Failure Tolerant and trustworthy Sensor Networks
· Highly available data warehouses for business processes integration
· Handling different or incompatible formats, and erroneous data
· Privacy and security policies and social impact of data mining
· Privacy preserving data integration
· Access control techniques and secure data models
· Encryption & Authentication
· Pseudonymization and Encryption
· Anonymization and pseudonymization
· Trust management, and security
· Security in Aggregation and Generalization
· User Profile Based Security
· Secure multi-party computation
· Secondary use of personal data, clinic data, credit record
· Fraud and misuse detection
· Intrusion detection and tolerance
· Data mining applications for terrorist detection
· Private queries by a (semi-trusted) third party
· Query authentication, logging, auditing, access control and
authorization policies

The program of the workshop will be a combination of invited talks,
paper/poster presentations and discussions.

Important Dates
---------------
Submission Deadline: November, 16th 2007
Author Notification: December, 17th 2007
Author Registration: December, 31st 2007
Proceedings Version: January, 2nd 2007
Conference/Workshop: March 10-13th, 2008

Submission Guidelines
---------------------
Authors are invited to submit research and application papers in IEEE
Computer Society Proceedings Manuscripts style (two columns, single-
spaced, including figures and references, using 10 fonts, and number
each page).
You can confirm the IEEE Computer Society Proceedings Author
Guidelines at the following web page:

URL:
http://www.ieee.org/portal/cms_docs/pubs/confpubcenter/pdfs/samplems.p
df
http://www.icst.org/download/authorskit/ieeetemplate.doc

Submission are classified into 2 categories (1) full paper (8
pages) and (2) short paper (5 pages) representing original,
previously unpublished work.

Submitted papers will be carefully evaluated based on originality,
significance, technical soundness, and clarity of exposition.

Contact author must provide the following information: paper title,
authors' names, affiliations, postal address, phone, fax, and e-mail
address of the author(s), about 200-250 word abstract, and about five
keywords and register at our ARES website: http://www.ares-
conference.eu/conf/ and select DAWAM workshop submission.

You can also prepare your paper in PDF file and send it to the
workshop co-chair: Prof. Bhavani Thuraisingham, The University of
Texas at Dallas, USA (bhavani.thuraisingham@...) or Dr.
Nguyen Manh Tho, Institute of Software Technology, Vienna University
of Technology, Austria ( tho@...)

Submission of a paper implies that should the paper be accepted, at
least one of the authors will register and present the paper in the
conference. Accepted papers will be given guidelines in preparing
and submitting the final manuscript(s) together with the
notification of acceptance.

Publication
-----------
All accepted papers (full and short papers) will be published as ISBN
proceedings published by IEEE Computer Society. Based on quality and
referee reviews, some papers not suitable for acceptance as full
paper will be accepted for presentation at DAWAM 2008 as short paper
or Poster presentation category and will be also included in the IEEE
Proceedings.

Like in DAWAM 2007, A selected number of DAWAM 2008 best papers will
be nominated to be published as special  issues in appropriate
journals such as International Journal of Business Intelligence and
Data Mining (IJBIDM), Journal of automatic and trusted computing
(JoATC).

Workshop Organizer Co-chairs
----------------------------
Bhavani Thuraisingham, Prof.
Director of the Cyber Security Research Center
Erik Jonsson School of Engineering and Computer Science
The University of Texas at Dallas, USA
bhavani.thuraisingham@...

Nguyen Manh Tho, Ph.D. (main contact)
Institute of Software Technique and Interactive System,
Vienna University of Technology,
Favoriten strasse 9-11/188
A1040 Vienna, Austria
tho@...

Program Committee
-----------------
Jemal Abawajy, Deakin University, Australia
Mikhail Atallah, Purdue University, USA
Davide Balzarotti, University of California, USA
Barbara Carminati, University of Insubria at Varese, Italy
Pawan Chowdhary, IBM T J Watson Research Center, USA
Alfredo Cuzzocrea, Italian National Research Council, Italy
Hervé Debar, France Télécom R&D, France
Josep Domingo-Ferrer, Rovira i Virgili University of Tarragona, Spain
Ulrich Flegel, SAP Research CEC Karlsruhe, Germany
Tyrone Grandison, IBM Almaden Research Center, USA
Jimmy Huang, York University, Canada
James Joshi, University of Pittsburgh, USA
Kwok-Yan Lam, Tsinghua University, China
Xue Li, The University of Queensland, Australia
Zongwei Luo, The University of Hong Kong, China
Nasrullah Memon, Aalborg University, Denmark
Taneli Mielikäinen, Nokia Research Center Palo Alto, USA
Anirban Mondal, University of Tokyo, Japan
Tho-Manh Nguyen, Vienna University of Technology, Austria
Torsten Priebe, Capgemini Consulting Österreich AG, Austria
Raghav Rao, SUNY at Buffalo, USA
Yucel Saygin, Sabanci University, Turkey
Josef Schiefer, Senactive IT-Dienstleistungs GmbH, Austria
Ben Soh, La Trobe University, Australia
Toshihiro Tabata, Okayama University, Japan
David Taniar, Monash University, Australia
Bhavani Thuraisingham, The University of Texas at Dallas, USA
Vassilios S. Verykios, University of Thessaly, Greece
Duminda Wijesekera, George Mason University, USA
Yang Yanjiang, Singapore Management University, Singapore
Justin Zhan, Carnegie Mellon University, USA
Sheng Zhong, State University of New York at Buffalo, USA

hai,
I have written an algorithm for mining weighted
market basket transaction using association Techniques.
To verify the efficiency I required internet datasets. please help me
regarding the dataset and implementation method

Thank U in advance,

T.Christopher


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=================   Please forward this notice to a friend   =================
Data Mining SIG
San Francisco Bay Area Chapter of ACM
  www.sfbayacm.org


Mapping and aligning sequences to genomes across different species
Presented by Thomas Wu, Senior Scientist, Bioinformatics, Genentech

Date: Wednesday, 14 November 2007, 6:30 PM
Time: 6:30pm - Pizza & Beverages (Courtesy: Copacast), 7:00pm - talk

Location: SAP LABS, Building D, 3410 Hillview Avenue, Palo Alto, CA (Google Maps
| Yahoo! Maps | Mapquest)
Cost: Free and open to all who wish to attend, but membership is only $10/year.
Topic
The availability of entire genome sequences has prompted researchers in
bioinformatics to use genomes as universal coordinate systems for mapping
various types of sequence information. In turn, bioinformatics researchers need
computer programs that can efficiently and accurately map and align nucleotide
and protein sequences to entire genomes. The problem of mapping and aligning
cDNA sequences to genomes for the same species has essentially been solved, with
programs such as GMAP. The remaining issues in the field are the ability to
handle cross-species alignments and protein sequences. Cross-species alignments
enable us to leverage our knowledge about one species onto another. Mapping and
alignment of protein sequences has certain advantages over nucleotide sequences,
especially in cross-species comparisons, because protein sequences are
evolutionarily more conserved than nucleotide sequences. In this talk, I will
discuss our recent work in extending
  the algorithmic ideas of GMAP to handle cross-species and protein sequences.

About the Speaker
Thomas Wu received his B.S. and M.S. from Stanford in 1984, his M.D. from
Harvard Medical School in 1992, and his Ph.D. in Computer Science from MIT in
1992. He completed his internship and residency in Internal Medicine at Stanford
in 1994. He was a Postdoctoral Fellow in the Department of Biochemistry at
Stanford from 1994 to 1999. Since 1999, Dr. Wu has been a Senior Scientist in
the Department of Bioinformatics at Genentech.He is a independent consultant and
currently the Analytics Evangelist for Google. Prior to that he was the Director
of Web Research & Analytics for Intuit where he was responsible for the
business, technical and strategic elements of the analytics platform that
supported more than 70 Intuit websites.



UPCOMING EVENTS:
Wednesday, November 14: Crucial Marketing Concepts for Technology Introduction
to be presented by Sean Murphy, HP Labs, Cupertino
Wednesday, December 12: Data Mining SIG: Putting Engineering Back in Protein
Engineering to be presented by Sridhar Govindarajan, VP Informatics and Claes
Gustafsson, VP Marketing, DNA 2.0, SAP Labs Palo Alto
Wednesday, Januay 9, 2008: Data Mining SIG, Learning in Networks: from Spiking
Neural Nets to Graphs, Victor Miagkikh, Machine Learning Specialist, Cisco
Systems, Inc.

__________________________________________________
Do You Yahoo!?
Tired of spam?  Yahoo! Mail has the best spam protection around
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[Non-text portions of this message have been removed]

Research Grant in Project Site-O-Matic (POSC/EIA/58367/2004)

Project Site-O-Matic / LIAAD – U. Porto / INESC Porto L.A. is looking
for researcher(s) /
programmer(s) to work in web mining and web application development.
(www.liaad.up.pt/Site-O-Matic).

Profile of candidates:
Required:
- motivation for working in applied research,
- good skills in programming (pref. java, php, C, SQL),
- technical knowledge of web applications (pref. XML, apache, iie),
Preferred
- background in statistics / data mining

1. Duration and conditions: 6 months, starting 1st December,
full-time, according to the
regulation in
(http://www.fct.mctes.pt/pt/apoios/formacao/ambitoprojectos) and the grant
regulation of Fundação Gomes Teixeira,
The grant will be be extended for further 1 or 2 periods of 6 months,
provided the produces
satisfactory work.
The place of work is Porto, Portugal.

2. Supervision: Alípio Jorge, LIAAD / FEP / U. Porto / INESC Porto L.A.

3. Academic level: undergraduate student OR graduate (BSc., Lic.) OR MSc.

4. Salary: According to FCT regulations
(http://www.fct.mctes.pt/pt/apoios/bolsas/valores/). Currently:
+ 385 € per month for undergraduates
+ 745 € per month for graduates
+ 980 € per month for MSc

5. Application:
Detailed Curriculum Vitae;
Copy of official documents awarding degrees;
send, e-mail only, to:
Alípio Jorge
tel: 22 339 20 92
fax: 22 339 20 99
amjorge@... (Subject:Grant SOM)

7. Deadline:
20th November 2007 (late submissions may be accepted until a final
decision is made)

***********************************************************
                      CALL FOR CHAPTERS
       Proposal Submission Deadline: December 31, 2007

      Post-Mining of Association Rules: Techniques for
               Effective Knowledge Extraction

   A book edited by Dr. Yanchang Zhao, Prof. Chengqi Zhang
                    and Dr. Longbing Cao
     To be published by IGI Global (formerly Idea Group)
   http://www-staff.it.uts.edu.au/~yczhao/IGI-book/CFC.htm
***********************************************************


Introduction
------------
There are often a huge number of association rules
discovered in a data mining practice, making it difficult
for users to identify those that are of particular interest
to them. Therefore, it is important to remove insignificant
rules and prune redundancy as well as summarize, visualize
and post-mine the discovered rules. Moreover, the
information we can get from traditional association rules
is very limited, so new forms of association rules are
needed to discover useful and actionable knowledge. The
book aims to present a whole picture of the post-analysis,
summarization and new forms of association rules and
introduce the up-to-date research on the above topics to
extract useful knowledge from a large number of discovered
association rules.


The Overall Objective of the Book
---------------------------------
The book will focus on the post-analysis of association
rules to extract useful and actionable knowledge from a
large number of discovered rules. It will cover interest,
redundancy, post-mining, summarization, presentation and
visualization of association rules, as well as novel forms
and new trends of association rules. It will not only
present academia with a systematic view of the current
research progress on the above topics, but it will also
help industry learn from the ideas and apply them to find
actionable knowledge in real-world applications.


The Target Audience
-------------------
The audience of this book will be researchers in the field
of data mining, postgraduate students who are interested
in data mining, and industry data miners. Note that the
audience is not limited to those interested in association
rules because the post-mining of association rules involves
clustering, classification and many other techniques of
data mining, as well as statistics and artificial
intelligence, which are actually beyond association rule
mining itself.


Recommended topics include, but not limited to:
-----------------------------------------------
* Subjective & objective interestingness
* Removing redundancy in association rules
* Summarization and generalization of association rules
* Presentation and visualization of association rules
* Maintenance of association rules
* Post-mining of association rules, e.g., clustering
   association rules
* Class association rules and association classifier
* Quantitative association rules and inter-transaction
   association rules
* New forms/challenges/trends of association rules and
   association mining


Important Dates
---------------
Proposal submission deadline: December 31, 2007
Notification of proposal acceptance: January 31, 2008
Full chapter submission: April 30, 2008
Notification of chapter review: June 30, 2008
Revised chapter submission: July 30, 2008
Final notification of acceptance: August 15, 2008
Camera ready copy submission: September 15, 2008


Submission Procedure
--------------------
Researchers and practitioners are invited to submit on or
before December 31, 2007, a 2-5 page manuscript proposal
clearly explaining the mission and concerns of the proposed
chapter. Authors of accepted proposals will be notified by
January 31, 2008 about the status of their proposals and
sent chapter organizational guidelines. Full chapters are
expected to be submitted by April 30, 2008. All submitted
chapters will be reviewed on a double-blind review basis.
The book is scheduled to be published by IGI Global
(formerly Idea Group), www.igi-global.com, publisher of the
IGI Publishing (Idea Group Publishing), Information Science
Publishing, IRM Press, CyberTech Publishing, Information
Science Reference (formerly Idea Group Reference) and
Medical Information Science Reference imprints.

Detailed instructions will be available at
http://www-staff.it.uts.edu.au/~yczhao/IGI-book/CFC.htm.


Contact
-------
Inquiries and submissions can be forwarded electronically
(Word document) to:

Dr. Yanchang Zhao
Faculty of Information Technology,
University of Technology, Sydney (UTS), Australia
Tel.: +61 2 6131 0264
Mobile: +61 4300 93392
Email: yczhao@...

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