Data mining "to go"

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Data mining "to go": ubiquitous KDD for mobile and distributed environments

Source

International Conference on Knowledge Discovery and Data Mining archive
Tutorial notes of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining table of contents

San Francisco, California

TUTORIAL SESSION: Tutorial session table of contents

Pages: 4.1 - 4.78

Year of Publication: 2001

Authors

Hillol Kargupta	University of Maryland
Anupam Joshi	University of Maryland

Sponsors

AAAI : American Association for Artificial Intelligence
SIGMOD: ACM Special Interest Group on Management of Data

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): n/a, Downloads (12 Months): n/a, Citation Count: 2

Additional Information:

cited by index terms collaborative colleagues

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CITED BY 2

	Jeffrey Hsu, Critical and future trends in data mining: a review of key data mining technologies/applications, Data mining: opportunities and challenges, Idea Group Publishing, Hershey, PA, 2003
	Satoshi Morinaga , Kenji Yamanishi , Jun-ichi Takeuchi, Distributed cooperative mining for information consortia, Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining, August 24-27, 2003, Washington, D.C.