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Proceedings Paper

Decomposition in data mining: a medical case study
Author(s): Andrew Kusiak
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Paper Abstract

Decomposition is a tool for managing complexity in data mining and enhancing the quality of knowledge extracted from large databases. A typology of decomposition approaches applicable to data mining is presented. One of the decomposition approaches, the structure rule-feature matrix, is used as the backbone of a system for informed decision- making. Such a system can be implemented as a decision table, a decision map, or a decision atlas. The ideas presented in the paper are illustrated with examples and a medical case study.

Paper Details

Date Published: 27 March 2001
PDF: 12 pages
Proc. SPIE 4384, Data Mining and Knowledge Discovery: Theory, Tools, and Technology III, (27 March 2001); doi: 10.1117/12.421082
Show Author Affiliations
Andrew Kusiak, Univ. of Iowa (United States)

Published in SPIE Proceedings Vol. 4384:
Data Mining and Knowledge Discovery: Theory, Tools, and Technology III
Belur V. Dasarathy, Editor(s)

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