Conference proceeding
Decomposition in data mining: a medical case study
Proceedings of SPIE, Vol.4384(1), pp.267-278
Data Mining and Knowledge Discovery: Theory, Tools, and Technology III
03/27/2001
DOI: 10.1117/12.421082
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.
Details
- Title: Subtitle
- Decomposition in data mining: a medical case study
- Creators
- Andrew Kusiak - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.4384(1), pp.267-278
- Conference
- Data Mining and Knowledge Discovery: Theory, Tools, and Technology III
- DOI
- 10.1117/12.421082
- ISSN
- 0277-786X
- Language
- English
- Date published
- 03/27/2001
- Academic Unit
- Industrial and Systems Engineering; Nursing
- Record Identifier
- 9984187054202771
Metrics
11 Record Views