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Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects

8th Industrial Conference, ICDM 2008 Leipzig, Germany, July 16-18, 2008 Proceedings

  • Editors
  • Petra Perner

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5077)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5077)

Table of contents

  1. Front Matter
  2. Lifescience and Biotechnological Applications for Data Mining

    1. Rainer Schmidt, Tina Waligora, Olga Vorobieva
      Pages 1-15
    2. Fernando Alonso, Loïc Martínez, Aurora Pérez, Agustín Santamaría, Juan Pedro Valente
      Pages 32-46
    3. Georg Ruß, Rudolf Kruse, Martin Schneider, Peter Wagner
      Pages 47-56
    4. A. Fornells, E. Armengol, E. Golobardes, S. Puig, J. Malvehy
      Pages 57-71
    5. Le Thi Hoai An, Le Hoai Minh, Nguyen Trong Phuc, Pham Dinh Tao
      Pages 72-86
    6. Bruno Direito, António Dourado, Francisco Sales, Marco Vieira
      Pages 87-101
    7. Sara Colantonio, Ovidio Salvetti, Marco Tampucci
      Pages 102-113
    8. Klaus-Dieter Althoff, Kerstin Bach, Meike Reichle
      Pages 114-128
  3. Clustering and Classification

    1. Joanna Jȩdrzejowicz, Piotr Jȩdrzejowicz
      Pages 129-141
    2. JinFeng Wang, KwongSak Leung, KinHong Lee, ZhenYuan Wang
      Pages 142-152
    3. Gero Szepannek, Julia Schiffner, Julie Wilson, Claus Weihs
      Pages 153-164
    4. Leon Bobrowski
      Pages 177-188
  4. Association Rule Mining

    1. M. Sulaiman Khan, Maybin Muyeba, Frans Coenen
      Pages 200-212
  5. E-Mail, WebMining

    1. J. R. Méndez, I. Cid, D. Glez-Peña, M. Rocha, F. Fdez-Riverola
      Pages 213-227
    2. I. Cid, L. R. Janeiro, J. R. Méndez, D. Glez-Peña, F. Fdez-Riverola
      Pages 228-241
    3. Laurent Candillier, Frank Meyer, Françoise Fessant
      Pages 242-255
    4. Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida
      Pages 256-267
    5. Radhouane Guermazi, Mohamed Hammami, Abdelmajid Ben Hamadou
      Pages 268-282
    6. Dong (Haoyuan) Li, Anne Laurent, Pascal Poncelet
      Pages 283-297
  6. Information Retrieval

    1. Alexandra Brügger, Horst Bunke, Peter Dickinson, Kaspar Riesen
      Pages 298-312
  7. Industrial Applications

    1. Zohreh Nazeri, Daniel Barbara, Kenneth De Jong, George Donohue, Lance Sherry
      Pages 313-322
    2. Calin Ciufudean, Constantin Filote, Dumitru Amarandei
      Pages 330-344
  8. Frequent Item Set, Sequence Mining

    1. Haibin Cheng, Ruofei Zhang, Yefei Peng, Jianchang Mao, Pang-Ning Tan
      Pages 345-359
    2. Yucai Feng, Tao Jiang, Yingbiao Zhou, Junkui Li
      Pages 360-373
  9. Aspects of Data Mining

    1. Rui Pedro Barbosa, Orlando Belo
      Pages 389-403
    2. Jonas Poelmans, Paul Elzinga, Stijn Viaene, Guido Dedene
      Pages 404-416
    3. Eric J. Pauwels, Paul M. de Zeeuw, Danielle M. Bounantony
      Pages 417-425
  10. Back Matter

About these proceedings

Introduction

ICDM / MLDM Medaillie (limited edition) Meissner Porcellan, the “White Gold” of King August the Strongest of Saxonia ICDM 2008 was the eighth event of the Industrial Conference on Data Mining held in Leipzig (www.data-mining-forum.de). For this edition the Program Committee received 116 submissions from 20 countries. After the peer-review process, we accepted 36 high-quality papers for oral presentation, which are included in these proceedings. The topics range from aspects of classification and prediction, clustering, Web mining, data mining in medicine, applications of data mining, time series and frequent pattern mining, and association rule mining. Thirteen papers were selected for poster presentations that are published in the ICDM Poster Proceeding Volume. In conjunction with ICDM there were three workshops focusing on special hot application-oriented topics in data mining. The workshop Data Mining in Life Science DMLS 2008 was held the third time this year and the workshop Data Mining in Marketing DMM 2008 ran for the second time this year. Additionally, we introduced an International Workshop on Case-Based Reasoning for Multimedia Data CBR-MD.

Keywords

Clustering classification data mining e-commerce information retrieval marketing service-oriented computing web mining

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-70720-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-70717-2
  • Online ISBN 978-3-540-70720-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site