The KDD process for extracting useful knowledge from volumes of data

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The KDD process for extracting useful knowledge from volumes of data

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Communications of the ACM archive
Volume 39 , Issue 11 (November 1996) table of contents

Pages: 27 - 34

Year of Publication: 1996

ISSN:0001-0782

Authors

Usama Fayyad	Jet Propulsion Laboratory, California Institute of Technology
Gregory Piatetsky-Shapiro	GTE Laboratories
Padhraic Smyth	University of California, Irvine and Jet Propulsion Laboratory, California Institute of Technology

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 105, Downloads (12 Months): 607, Citation Count: 87

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Rakesh Agrawal , Heikki Mannila , Ramakrishnan Srikant , Hannu Toivonen , A. Inkeri Verkamo, Fast discovery of association rules, Advances in knowledge discovery and data mining, American Association for Artificial Intelligence, Menlo Park, CA, 1996
	2	John F. Elder, IV , Dary Pregibon, A statistical perspective on knowledge discovery in databases, Advances in knowledge discovery and data mining, American Association for Artificial Intelligence, Menlo Park, CA, 1996
	3	Fayyad, U., and Uthurusamy, R., Eds. Proceedings of KDD-95: The First International Conference on Knowledge Discovery and Data Mining. AAAI Press, Menlo Park, Calif., 1995.
	4	Usama M. Fayyad , Gregory Piatetsky-Shapiro , Padhraic Smyth, From data mining to knowledge discovery: an overview, Advances in knowledge discovery and data mining, American Association for Artificial Intelligence, Menlo Park, CA, 1996
	5	Usama M. Fayyad , Gregory Piatetsky-Shapiro , Padhraic Smyth , Ramasamy Uthurusamy, Advances in knowledge discovery and data mining, American Association for Artificial Intelligence, Menlo Park, CA, 1996
	6	David Heckerman, Bayesian networks for knowledge discovery, Advances in knowledge discovery and data mining, American Association for Artificial Intelligence, Menlo Park, CA, 1996
	7	Pat Langley , Herbert A. Simon, Applications of machine learning and rule induction, Communications of the ACM, v.38 n.11, p.54-64, Nov. 1995 [doi>10.1145/219717.219768]

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