Emerging scientific applications in data mining

Authors:
Jiawei Han;Russ B. Altman;Vipin Kumar;Heikki Mannila;Daryl Pregibon
Affiliations:
Department of Computer Science in the University of Illinois at Urbana-Champaign.;Department of Genetics, Stanford Medical Informatics, Stanford University, Stanford, CA.;Computer Science Department at the University of Minnesota, Minneapolis.;Department of Computer Science at the University of Helsinki, Finland.;AT&T Labs, Research, Florham Park, NJ.
Venue:
Communications of the ACM - Evolving data mining into solutions for insights
Year:
2002

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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.