Workshop Data Mining in Marketing DMM

Workshop on Data Mining in Marketing DMM´2009

July 22, 2009, Leipzig/Germany

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

Please Email submissions at

Important Dates

Submission Deadline: May 5th, 2009
Notification Date: May 31st, 2009
Camera-Ready Deadline: June 10th, 2009
Workshop date: July 22nd, 2009


mission | ICDM´2009 | past events | publications | tutorial days | contact

Advances in Data Mining

Special Issue
Appeared: 2006

Advances in Data Mining

IBaI Publishing
ISSN: 1865-6781

Advances in Data Mining

Springer Verlag
ISBN: 978-3540707172

Data Mining and Multimedia Data

Springer Verlag
ISBN: 3-540-00317-7



Logfile-Analysetool NetLog

Logfile-Analysetool NetLog