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                       Call for Papers

    IEEE Transactions on Knowledge and Data Engineering

                     A Special Issue on

Customer Relationship Management: Data Mining Meets Marketing

                  Planned for: Early 2007

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Customer Relationship Management emerged in the last decade

to reflect the central role of customers for the strategic

positioning of a company. CRM encompasses all measures to

achieve customer understanding and to exploit this knowledge

in marketing and production. Accordingly, it requires

integration of customer-related data, meta-data and

background knowledge, to provide a coordinated analysis of

this integrated data.

 

Central to CRM are the correct and complete understanding of

the customers and derivation of concerted actions from this

understanding. Traditionally, Knowledge and Data Engineering

is observed as a key enabler for CRM, delivering knowledge

discovery methods for customer profiling, classification,

segmentation and response prediction scalable technologies

for processing of large customer bases and of streams of

customer transaction data methodologies for the integration

of heterogeneous collections of data at different levels of

abstraction and with varying degrees of internal structure

tools and standards for the specification of meta-information

and methods for the incorporation of meta-data into the

knowledge discovery process frameworks for the formulation of

recommendations and the design of personalized services,

especially in e-commerce applications.

 

However, many of these contributions focus on isolated CRM

problems, the emphasis being more on the discovery of correct

patterns than on obtaining deep insights into customer

behaviour. Some of the challenges that are still open today

include the integrated analysis of customer data and texts

(e.g., product descriptions and customer feedback),

incorporation of extracted knowledge into the production and

marketing cycle, incorporation of various types of background

knowledge into the analysis, and systematic re-evaluation of

extracted knowledge against drifting customer preferences and

profiles.

 

In this special issue, we solicit submissions describing

innovative Knowledge and Data Engineering methods for CRM

challenges, with a particular focus on the areas of knowledge

discovery and data/text mining, of data warehousing and

advanced database technologies. We particularly encourage

contributions that take a holistic and integrated view of the

customers, their static data, their implicit and explicit

preferences, and their behaviour across various interaction

channels.

 

To reflect the interdisciplinary nature of the CRM field, we

encourage all authors to place their contributions into a

broader, customer-centered framework and explain how their

work helps to solve complex and integrated CRM problems and

how it considers demands from and provides insights to other

disciplines, such as marketing.

 

Topics of Interest to the Special Issue

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* Customer segmentation methods

* Building customer models and profiles

* Management of customer bases

* Mining structured, semi-structured and unstructured data

* Mining e-commerce clickstream/usage data

* Collecting, extracting, analyzing consumer opinion data

* Personalization and recommender systems

* Discovering trends in customer data and customer intelligence

* Visualization of customer data

* Building customer-centered data warehouses

* Data streams and CRM

* Event monitoring and triggering

* Methods for building learning relationships with customers

* Models and metrics for valuing customers over their life time

* Managing customer interaction cycle (including Web based)

* Methods for contact management and lead capture

* Data and stream analysis for self-service applications

* Methods for design and evaluation of flexible pricing models

 

Submission Guidelines

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Please follow the formatting guideline at:

    http://www.computer.org/tkde/author_new.htm

and submit your papers to Manuscript Central at

    http://cs-ieee.manuscriptcentral.com/

You must select "Special Issue CRM" from the drop-down

menu for the manuscript type!

 

Important dates

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Submission Deadline for Papers:           10-Feb-06  *** NEW

Completion of 1st Round of Reviews:    30-Apr-06

Minor Revisions Due:                    20-May-06

Major Revisions Due:                    20-June-06

Completion of 2nd Round of Reviews:   31-Jul-06

Minor Revisions Due:                    17-Aug-06 

Completion of Minor Revision Review:   25-Aug-06

Acceptance Letters Sent:                   07-Sep-06

 

Please feel free to contact the Peer Review Manager, Suzanne

Werner (swerner@...) or the guest editors

(crm_tkde@...) if you have any questions.

 

Special Issue Guest Editors

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Bing Liu, University of Illinois at Chicago, USA  

Myra Spiliopoulou, University Magdeburg, Germany        

Jaideep Srivastava, University of Minnesota, USA         

Alexander Tuzhilin, New York University, USA