Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects: 8th Industrial Conference, ICDM 2008 Leipzig, Germany, . (Lecture Notes in Computer Science (5077))

ISBN 10: 3540707174 / ISBN 13: 9783540707172

Published by Springer, 2008

About this Item

Top corner has a bit of curve from storage issue. Binding solid, pages crisp and clean, no markings found. Covers bright and shiny with light scuffs and dents. Extremities lightly bumped with minimal tip wear.

Seller Inventory # SKU1012927

Bibliographic Details

• Title: Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects: 8th Industrial Conference, ICDM 2008 Leipzig, Germany, . (Lecture Notes in Computer Science (5077))
• Publisher: Springer
• Publication Date: 2008
• Language: English
• ISBN 10: 3540707174
• ISBN 13: 9783540707172
• Binding: PAPERBACK
• Condition: Good

About this title

Synopsis

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.