Emerging scientific applications in data mining

Communications of the ACM

Volumn 45, Issue 8, 2002, Pages 54-58

  Han, Jiawei ^a   Altman, Russ B ^b   Kumar, Vipin ^d   Mannila, Heikki ^d   Pregibon, Daryl ^c  

^a University of Illinois at Urbana Champaign   (United States)

^b STANFORD UNIVERSITY   (United States)

^c AT AND T LABS RESEARCH   (United States)

^d NONE

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0042914872     PISSN: 00010782     EISSN: None     Source Type: Journal    
DOI: 10.1145/545151.545179     Document Type: Article

References (6)

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2. Lambert, D. and Pinheiro, J. Mining a stream of transactions for customer patterns. In Proceedings of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2001) (San Francisco, Aug. 26-29). ACM Press, New York, 2001, 305-310.
3. Lee, W., Stolfo, S., and Mok, K. Adaptive intrusion detection. Artif. Intelli. Rev. 14 (2000), 533-567.
4. Miller, H. and Han, J. Geographic Data Mining and Knowledge Discovery. Taylor and Francis, London, U.K., 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.