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Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2838)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: PKDD 2003.
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Keywords
Table of contents (44 papers)
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Invited Papers
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Contributed Papers
Editors and Affiliations
About the editors
This book constitutes the refereed proceedings of the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2003, held in Cavtat-Dubrovnik, Croatia in September 2003 in conjunction with ECML 2003.
The 40 revised full papers presented together with 4 invited contributions were carefully reviewed and, together with another 40 ones for ECML 2003, selected from a total of 332 submissions. The papers address all current issues in data mining and knowledge discovery in databases including data mining tools, association rule mining, classification, clustering, pattern mining, multi-relational classifiers, boosting, kernel methods, learning Bayesian networks, inductive logic programming, user preferences mining, time series analysis, multi-view learning, support vector machine, pattern mining, relational learning, categorization, information extraction, decision making, prediction, and decision trees.
Bibliographic Information
Book Title: Knowledge Discovery in Databases: PKDD 2003
Book Subtitle: 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings
Editors: Nada Lavrač, Dragan Gamberger, Ljupčo Todorovski, Hendrik Blockeel
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/b13634
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2003
Softcover ISBN: 978-3-540-20085-7Published: 11 September 2003
eBook ISBN: 978-3-540-39804-2Published: 18 November 2003
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVI, 512
Topics: Data Structures and Information Theory, Artificial Intelligence, Mathematical Logic and Formal Languages, Probability and Statistics in Computer Science, Database Management, Information Storage and Retrieval