Decomposition in data mining: a medical case study

Andrew Kusiak

doi:10.1117/12.421082

27 March 2001 Decomposition in data mining: a medical case study

Andrew Kusiak

Proceedings Volume 4384, Data Mining and Knowledge Discovery: Theory, Tools, and Technology III; (2001) https://doi.org/10.1117/12.421082
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

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.

Citation Download Citation

Andrew Kusiak "Decomposition in data mining: a medical case study", Proc. SPIE 4384, Data Mining and Knowledge Discovery: Theory, Tools, and Technology III, (27 March 2001); https://doi.org/10.1117/12.421082

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