This book constitutes the refereed proceedings of the 8th Industrial Conference on Data Mining, ICDM 2008, held in Leipzig, Germany in July 2008. The 31 revised full papers presented were carefully reviewed and selected from 116 submissions. The papers are organized in topical sections on lifescience and biotechnological applications for data mining, clustering and classification, association rule mining, e-mail, Web mining, information retrieval, industrial applications, frequent item set, sequence mining, and aspects of data mining.
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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.
This book constitutes the refereed proceedings of the 8th Industrial Conference on Data Mining, ICDM 2008, held in Leipzig, Germany in July 2008. The 31 revised full papers presented were carefully reviewed and selected from 116 submissions. The papers are organized in topical sections on lifescience and biotechnological applications for data mining, clustering and classification, association rule mining, e-mail, Web mining, information retrieval, industrial applications, frequent item set, sequence mining, and aspects of data mining.
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