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| Author: | Padmanabhan, B. Tuzhilin, A. |
| Title: | Knowledge refinement based on the discovery of unexpected patterns in data mining |
| Journal: | Decision Support Systems
2002 : JUL, VOL. 33:3, p. 309-321 |
| Index terms: | DATA MINING DECISION SUPPORT SYSTEMS KNOWLEDGE |
| Language: | eng |
| Abstract: | In prior work, the authors provided methods that generate unexpected patterns with respect to managerial intuition by eliciting managers' beliefs about the domain and using these beliefs to seed the search for unexpected patterns in data. Unexpected patterns discovered in this manner represent contradictions or "holes" in domain knowledge which need to be resolved. Given a belief and set of unexpected patterns, the motivation behind knowledge refinement is that the belief can be made stronger by refining the belief based on the discovered patterns. In this paper the authors address the problem of incorporating the discovered contradictions into the belief system based on a formal logic approach. |
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