Emerging scientific applications in data mining

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Emerging scientific applications in data mining

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Communications of the ACM archive
Volume 45 , Issue 8 (August 2002) table of contents
Evolving data mining into solutions for insights

SPECIAL ISSUE: Evolving data mining into solutions for insights table of contents

Pages: 54 - 58

Year of Publication: 2002

ISSN:0001-0782

Authors

Jiawei Han	Department of Computer Science in the University of Illinois at Urbana-Champaign.
Russ B. Altman	Department of Genetics, Stanford Medical Informatics, Stanford University, Stanford, CA.
Vipin Kumar	Computer Science Department at the University of Minnesota, Minneapolis.
Heikki Mannila	Department of Computer Science at the University of Helsinki, Finland.
Daryl Pregibon	AT&T Labs, Research, Florham Park, NJ.

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 26, Downloads (12 Months): 276, Citation Count: 4

Additional Information:

abstract references cited by index terms collaborative colleagues peer to peer

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ABSTRACT

Automated, scalable systems would reveal and help exploit the deeper meanings in scientific data, especially in biomedical engineering, telecommunications, geospatial exploration, and climate and Earth ecosystem modeling.

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	Tom Fawcett , Foster Provost, Adaptive Fraud Detection, Data Mining and Knowledge Discovery, v.1 n.3, p.291-316, 1997 [doi>10.1023/A:1009700419189]
	2	Diane Lambert , José C. Pinheiro, Mining a stream of transactions for customer patterns, Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, p.305-310, August 26-29, 2001, San Francisco, California [doi>10.1145/502512.502556]
	3	Wenke Lee , Salvatore J. Stolfo , Kui W. Mok, Adaptive Intrusion Detection: A Data Mining Approach, Artificial Intelligence Review, v.14 n.6, p.533-567, December 1, 2000 [doi>10.1023/A:1006624031083]
	4	Harvey J. Miller , Jiawei Han, Geographic Data Mining and Knowledge Discovery, Taylor & Francis, Inc., Bristol, PA, 2001
	5	Kumar, V., Steinbach, M., Tan, P., Klooster, S., Potter, C., and Torregrosa, A. Mining scientific data: Discovery of patterns in the global climate system. In Proceedings of the Joint Statistical Meetings (Athens, GA, Aug. 5--9). American Statistical Association, Alexandria, VA, 2001.
	6	Steinbach, M., Tan, P., Kumar, V., Klooster, S., and Potter, C. Data mining for the discovery of ocean climate indices. In Proceedings of the 5th Workshop on Scientific Data Mining (SDM 2002) (Arlington, VA, Apr. 13). Society of Industrial and Applied Mathematics, 2002, 7--16.

CITED BY 4

	Roger R. Skidmore , Alex Verstak , Naren Ramakrishnan , Theodore S. Rappaport , Layne T. Watson , Jian He , Srinidhi Varadarajan , Clifford A. Shaffer , Jeremy Chen , Kyung Kyoon Bae , Jing Jiang , William H. Tranter, Towards integrated PSEs for wireless communications: experiences with the S⁴W and SitePlanner® projects, ACM SIGMOBILE Mobile Computing and Communications Review, v.8 n.2, April 2004
	Weiguo Fan , Linda Wallace , Stephanie Rich , Zhongju Zhang, Tapping the power of text mining, Communications of the ACM, v.49 n.9, p.76-82, September 2006
	M. Winslett , K. Chang , A. Doan , J. Han , C. Zhai , Y. Zhou, Database research at the University of Illinois at Urbana-Champaign, ACM SIGMOD Record, v.31 n.3, September 2002
	Stéphanie Jacquemont , François Jacquenet , Marc Sebban, Mining probabilistic automata: a statistical view of sequential pattern mining, Machine Learning, v.75 n.1, p.91-127, April 2009

INDEX TERMS

Primary Classification:
H. Information Systems
H.2 DATABASE MANAGEMENT
H.2.8 Database applications
Subjects: Data mining

Additional Classification:
J. Computer Applications
J.2 PHYSICAL SCIENCES AND ENGINEERING
J.3 LIFE AND MEDICAL SCIENCES

General Terms:
Design

Collaborative Colleagues:

Jiawei Han: colleagues

Russ B. Altman: colleagues

Vipin Kumar: colleagues

Heikki Mannila: colleagues

Daryl Pregibon: colleagues

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