Emerging scientific applications in data mining-Reference-Cited by-同舟云学术

Emerging scientific applications in data mining

Published:2002-08 Issue:8 Volume:45 Page:54-58
ISSN:0001-0782
Container-title:Communications of the ACM
language:en
Short-container-title:Commun. ACM

Author:

Han Jiawei¹,Altman Russ B.²,Kumar Vipin³,Mannila Heikki⁴,Pregibon Daryl⁵

Affiliation:

1. Department of Computer Science in the University of Illinois at Urbana-Champaign.

2. Department of Genetics, Stanford Medical Informatics, Stanford University, Stanford, CA.

3. Computer Science Department at the University of Minnesota, Minneapolis.

4. Department of Computer Science at the University of Helsinki, Finland.

5. AT&T Labs, Research, Florham Park, NJ.

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.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Link

https://dl.acm.org/doi/pdf/10.1145/545151.545179

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