organised by

Data Mining in Marketing DMM

Workshop on Data Mining in Marketing DMM'2011

September 3, 2011, New York/ USA

Workshop Chair

Petra Perner, Institute of Computer Vision and applied Computer Sciences, IBaI, Germany

Organisational Chair

Sylvia Schmiedel, Institute of Computer Vision and applied Computer Sciences, IBaI, Germany

Workshop Committee

  • Bart Baesens, KU Leuven, Belgium
  • Carla Brambilla, CNR-IMATI, Italy
  • Fu-ren Lin, National Tsing Hua University, Taiwan
  • Ron Kenett, KPA, Israel
  • Andrea Ahlemeyer-Stubbe, ENBIS, Amsterdam
  • Stijn Viaene, KU Leuven, Belgium
  • Jan Vanthienen, Katholieke Universiteit Leuven, Belgium

The scope of the Workshop

In business environment data warehousing - the practice of creating huge, central stores of customer data that can be used throughout the enterprise - is becoming more and more common practice and, as a consequence, the importance of data mining is growing stronger. Data mining allows indeed to extract the most important information from such vast data and to uncover previously unknown patterns that may be relevant to current business problems, thereby helping business managers to transform data into business decisions.

In marketing data mining has several and profitable applications. It can help to identify market segments containing customers with high-profit potential, and then build campaigns that favorably impact their behavior; to detect customers dissatisfied and ready to leave, and then align campaigns more closely with their needs; to outline profiles of prospective customers, and then increase the response rates of the acquisition campaigns, and so on.

The goals of this workshop are to:

  • to provide a forum for identifying important contributions and opportunities for
  • research on data mining as it applies to marketing
  • to promote the systematic study of how to apply data mining to marketing
  • to show case applications.

Topics of interest include (but are not limited to):

  • Methods for User Profiling
  • Mining Insurance Data
  • E-Markteing with Data Mining
  • Logfile Analysis
  • Churn Management
  • Association Rules for Marketing Applications

Submission Requirements

Paper will be published in the workshop proceedings by IBaI publishing. PostScript (compressed and uuencoded) or PDF paper submissions should be formatted according to Springer LNCS format, with a maximum of ten pages. Author's instructions along with LaTeX and Word macro files are available on the web at http://www.springer.de/comp/lncs/authors.html.

Papers will be submitted via an on-line reviewing system. Details will be announced by the end of 2010.

Important Dates

  • Submission Deadline: May 27th, 2011
  • Notification Date: June 24th, 2011
  • Camera-Ready Deadline: July 8th, 2011
  • Workshop date: September 3rd, 2011
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