Overview
- Up to date results
- Fast track conference proceedings
- State of the art research
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7377)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: ICDM 2012.
Buy print copy
About this book
This book constitutes the refereed proceedings of the 12th Industrial Conference on Data Mining, ICDM 2012, held in Berlin, Germany in July 2012.
The 22 revised full papers presented were carefully reviewed and selected from 97 submissions. The papers are organized in topical sections on data mining in medicine and biology; data mining for energy industry; data mining in traffic and logistic; data mining in telecommunication; data mining in engineering; theory in data mining; theory in data mining: clustering; theory in data mining: association rule mining and decision rule mining.
Similar content being viewed by others
Keywords
Table of contents (22 papers)
-
Front Matter
-
Data Mining in Medicine and Biology
-
Data Mining in Traffic and Logistic
-
Data Mining in Telecommunication
-
Theory in Data Mining: Association Rule Mining and Decision Rule Mining
Other volumes
-
Advances in Data Mining. Applications and Theoretical Aspects
Editors and Affiliations
Bibliographic Information
Book Title: Advances in Data Mining. Applications and Theoretical Aspects
Book Subtitle: 12th Industrial Conference, ICDM 2012, Berlin, Germany, July 13-20, 2012. Proceedings
Editors: Petra Perner
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-31488-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2012
Softcover ISBN: 978-3-642-31487-2Published: 18 July 2012
eBook ISBN: 978-3-642-31488-9Published: 09 July 2012
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 289
Number of Illustrations: 97 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Multimedia Information Systems, Image Processing and Computer Vision, Information Systems Applications (incl. Internet), Database Management, Artificial Intelligence