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Business applications of 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: 49 - 53  
Year of Publication: 2002
ISSN:0001-0782
Authors
Chidanand Apte  T.J. Watson Research Center, Yorktown Heights, NY.
Bing Liu  Department of Computer Science at the University of Illinois at Chicago.
Edwin P. D. Pednault  Watson Research Center, Yorktown, NY.
Padhraic Smyth  Information and Computer Science Department at the University of California, Irvine.
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 37,   Downloads (12 Months): 495,   Citation Count: 12
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

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ABSTRACT

They help identify and predict individual, as well as aggregate, behavior, as illustrated by four application domains: direct mail, retail, automobile insurance, and health care.


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.

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CITED BY  12

Collaborative Colleagues:
Chidanand Apte: colleagues
Bing Liu: colleagues
Edwin P. D. Pednault: colleagues
Padhraic Smyth: colleagues