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Journal of Retailing and Consumer Services
Special Issue on
Data Mining Applications in Retailing and Consumer Services
(For publication in 2007)

Call for Papers

Guest Editors:

• Margarida G. M. S. Cardoso, ISCTE Business School, Lisboa. Portugal
• João Gama, LIACC, University of Porto, Porto, Portugal
• Andre Carvalho, University of São Paulo, Brazil

Purpose and scope
This special issue is devoted to academic work on Data Mining Applications in Retailing and Consumer Services. Retail and services firms have made a large investment in data collection and storage over the past years. Electronic sales transactions systems, data-warehouses and databases, all contribute to the increasing availability of large amounts of data, with rich information potential.

This special issue recognises the critical importance of the role played by Data Mining techniques in the world of Retailing, where knowledge (especially about customers) is simultaneously more accessible and critical. Data Mining offers new possibilities for extracting useful and non-trivial information from large databases, contributing to retail business understanding and to support decisions in a highly competitive environment.

We welcome papers illustrating the use of Data Mining methods, which may yield actionable knowledge for the purpose of retail and services business management and understanding. We also aim to contribute to bridge the gap between research and retail business practice.

Possible topics might include but are not limited to

• Data Warehousing, OLAP, Web Usage Mining,
• Data Reduction Techniques, Support Vector Machines, Evolutionary Algorithms, Association Rules,
• Classification and Regression Trees, Bayesian Networks and Neural Networks.

Possible retail applications may refer to Segmentation, User Profile Modeling, Identification of Cross-Selling Opportunities, Market Basket Analysis, Sales Forecasting, Store Performance Assessment, Store Site Assessment, Product Category Management, Promotions Planning, Consumer Behavior, Customer Relationship Management and Database Marketing.

Submission guidelines
Please submit your electronic 1000 words abstract (as an attachment) to margarida.cardoso@iscte.pt to jgama@liacc.up.pt and to andre@icmc.usp.br by April 2006.
 
Abstracts should include a title page (with author (s) name (s), affiliation, and contact details) and must clearly state their objectives, issues, methods, findings, application results and conclusions. A short list of references is also required. Please feel free to contact the guest editors to discuss ideas and potential topics.

Authors whose abstract submissions are accepted will be requested to send full papers to the guest editor. Author guidelines are available in the journal website

Important Deadlines
Submission of abstracts: April 15, 2006
Notification of acceptance: June 1, 2006
Submission of full papers for review: September 15, 2006
Submission of final copies: December 15, 2006