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KDD-2003 : proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 24-27, 2003, Washington, DC, USA

Author: Pedro Morais Delgado DomingosChristos FaloutsosTed SenatorLise GetoorAssociation for Computing Machinery. Special Interest Group on Knowledge Discovery & Data Mining.All authors
Publisher: New York, N.Y. : Association for Computing Machinery, ©2003.
Edition/Format:   eBook : Document : Conference publication : EnglishView all editions and formats
Summary:
"This conference brings together researchers and practitioners and focuses on new developments in Knowledge Discovery and Data Mining. The challenge of extracting knowledge from data is an area of common interest to researchers in several fields, including statistics, databases, pattern recognition, machine learning, data visualization, optimization and high-performance computing. On-line, interconnected systems  Read more...
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Genre/Form: Conference papers and proceedings
Congresses
Material Type: Conference publication, Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Pedro Morais Delgado Domingos; Christos Faloutsos; Ted Senator; Lise Getoor; Association for Computing Machinery. Special Interest Group on Knowledge Discovery & Data Mining.; ACM Digital Library.
ISBN: 1581137370 9781581137378
OCLC Number: 54701050
Notes: "ACM order number: 618030"--Title page verso.
Reproduction Notes: Electronic reproduction. New York, N.Y. : ACM, c2004. System requirements: Adobe Acrobat Reader. Mode of access: World Wide Web. Made available through ACM Digital Library under title: Conference on Knowledge Discovery in Data.
Description: [xviii], 762 pages : illustrations ; 28 cm
Other Titles: Conference on Knowledge Discovery in Data.
Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Knowledge discovery and data mining
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
KDD '03
Responsibility: edited by Pedro Domingos and Christos Faloutsos, program chairs ; general chair, Ted Senator ; proceedings chair, Lise Getoor.

Abstract:

"This conference brings together researchers and practitioners and focuses on new developments in Knowledge Discovery and Data Mining. The challenge of extracting knowledge from data is an area of common interest to researchers in several fields, including statistics, databases, pattern recognition, machine learning, data visualization, optimization and high-performance computing. On-line, interconnected systems offer unprecedented opportunities for discovery and learning from the wealth of accompanying data.

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