Advances in Knowledge Discovery and Data Mining [electronic resource] :13th Pacific-Asia Conference, PAKDD 2009 Bangkok, Thailand, April 27-30, 2009 Proceedings / edited by Thanaruk Theeramunkong, Boonserm Kijsirikul, Nick Cercone, Tu-Bao Ho.
by Theeramunkong, Thanaruk [editor.]; Kijsirikul, Boonserm [editor.]; Cercone, Nick [editor.]; Ho, Tu-Bao [editor.]; SpringerLink (Online service).
Material type:
BookSeries: Lecture Notes in Computer Science: 5476Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.Description: online resource.ISBN: 9783642013072.Subject(s): Computer science | Data mining | Information storage and retrieval systems | Multimedia systems | Artificial intelligence | Information systems | Computer Science | Artificial Intelligence (incl. Robotics) | Data Mining and Knowledge Discovery | Information Storage and Retrieval | Probability and Statistics in Computer Science | Multimedia Information Systems | Computer Appl. in Administrative Data ProcessingDDC classification: 006.3 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| TJ210.2-211.495 (Browse shelf) | Available | ||||
| Long Loan | MAIN LIBRARY | Q334-342 (Browse shelf) | Available |
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| Quantum Trajectories and Measurements in Continuous Time | TA349-359 Strength Analysis in Geomechanics | QD320-327 Glycoscience and Microbial Adhesion | Q334-342 Advances in Knowledge Discovery and Data Mining | HF54.5-54.56 Enterprise Architecture at Work | TA1671-1707 Characterization of Partially Polarized Light Fields | TK1-9971 Sensor Networks |
Keynote Speeches -- Regular Papers -- Short Papers.
This book constitutes the refereed proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009, held in Bangkok, Thailand, in April 2009. The 39 revised full papers and 73 revised short papers presented together with 3 keynote talks were carefully reviewed and selected from 338 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition, automatic scientific discovery, data visualization, causal induction, and knowledge-based systems.
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