Rough set methods and applications: new developments in knowledge discovery in information systems

作者: Shusaku Tsumoto , Lech Polkowski , Tsau Young Lin

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摘要: 1. Introduction.- Introducing the Book.- A Rough Set Perspective on Knowledge Discovery in Information Systems: An Essay Topic of 2. Methods and Applications: Reducts, Similarity, Mereology.- Algorithms Classification Problem.- 3. Mereology Systems. Case Study: Qualitative Spatial Reasoning.- 4. by Application Models.- 5. Various Approaches to Reasoning with Frequency Based Decision Reducts: Survey.- Regular Pattern Extraction, Concurrency.- 6. Regularity Analysis its Applications Data Mining.- 7. for Synthesis Concurrent Processes.- Algebraic Statistical Aspects, Conflicts, Incompleteness.- 8. Conflict Analysis.- 9. Logical Techniques 10. 11. Mining Incomplete Systems from Perspective.- Afterword.- 12. Sets Logic: KDD Appendix: Selected Bibliofgraphy Sets.

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