Advances in Data Mining

Applications in E-Commerce, Medicine, and Knowledge Management

  • Petra Perner

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2394)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 2394)

Table of contents

  1. Front Matter
    Pages I-VI
  2. Data Mining and E-commerce

    1. Erika Blanc, Paolo Giudici
      Pages 1-14
    2. Jochen Hipp, Ulrich Güntzer, Gholamreza Nakhaeizadeh
      Pages 15-36
  3. Knowledge Management and Data Mining

    1. Klaus-Dieter Althoff, Ulrike Becker-Kornstaedt, Björn Decker, Andreas Klotz, Edda Leopold, Jörg Rech et al.
      Pages 53-79
  4. Medical Applications

    1. Änne Glass, Thomas Karopka
      Pages 80-98
    2. Rainer Schmidt, Lothar Gierl
      Pages 99-107
  5. Back Matter
    Pages 109-109

About this book


This book presents papers describing selected projects on the topic of data mining in fields like e commerce, medicine, and knowledge management. The objective is to report on current results and at the same time to give a review on the present activities in this field in Germany. An effort has been made to include the latest scientific results, as well as lead the reader to the various fields of activity and the problems related to them. Knowledge discovery on the basis of web data is a wide and fast growing area. E commerce is the principal theme of motivation in this field, as companies invest large sums in the electronic market, in order to maximize their profits and minimize their risks. Other applications are telelearning, teleteaching, service support, and citizen information systems. Concerning these applications, there is a great need to understand and support the user by means of recommendation systems, adaptive information systems, as well as by personalization. In this respect Giudici and Blanc present in their paper procedures for the generation of associative models from the tracking behavior of the user. Perner and Fiss present in their paper a strategy for intelligent e marketing with web mining and personalization. Methods and procedures for the generation of associative rules are presented in the paper by Hipp, Güntzer, and Nakhaeidizadeh.


E-Commerce data mining e-marketing knowledge discovery knowledge management learning marketing web mining

Editors and affiliations

  • Petra Perner
    • 1
  1. 1.Institute of Computer Vision and Applied ScienceLeipzigGermany

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2002
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-44116-8
  • Online ISBN 978-3-540-46131-9
  • Series Print ISSN 0302-9743
  • Buy this book on publisher's site