Knowledge Discovery in Databases: PKDD 2003 / Lecture Notes in Computer Science Bd.2838 (PDF)
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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.
- 2003, 2003, 512 Seiten, Englisch
- Herausgegeben: Nada Lavrac, Dragan Gamberger, Hendrik Blockeel, Ljupco Todorovski
- Verlag: Springer Berlin Heidelberg
- ISBN-10: 354039804X
- ISBN-13: 9783540398042
- Erscheinungsdatum: 18.11.2003
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