10% off all books and free delivery over £50
Buy from our bookstore and 25% of the cover price will be given to a school of your choice to buy more books. *15% of eBooks.

Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects Lecture Notes in Artificial Intelligence

View All Editions (1)

The selected edition of this book is not available to buy right now.
Add To Wishlist
Write A Review

About

Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects Lecture Notes in Artificial Intelligence 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.

About This Edition

ISBN: 9783540707172
Publication date:
Author: Petra Perner
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Paperback
Pagination: 428 pages
Series: Lecture Notes in Computer Science
Genres: Pattern recognition
Computer vision
Expert systems / knowledge-based systems
Data mining
Applied computing
Computer hardware
Databases