Research Catalog

Rough sets and data mining : analysis for imprecise date

Title
Rough sets and data mining : analysis for imprecise date / T.Y. Lin, N. Cercone [editors].
Publication
Boston, Mass : Kluwer Academic, [1997], ©1997.

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TextRequest in advance QA76.9.D3 R784 1997Off-site

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Details

Additional Authors
  • Lin, T. Y. (Tung Yen), 1912-2003.
  • Cercone, Nick.
Description
436 pages : illustrations; 25 cm
Summary
  • Rough Sets and Data Mining: Analysis of Imprecise Data is an edited collection of research chapters on the most recent developments in rough set theory and data mining. The chapters in this work cover a range of topics that focus on discovering dependencies among data, and reasoning about vague, uncertain and imprecise information. The authors of these chapters have been careful to include fundamental research with explanations as well as coverage of rough set tools can be used for mining data bases.
  • Rough Sets and Data Mining: Analysis of Imprecise Data will be a useful reference work for rough set researchers, data base designers and developers, and for researchers new to the areas of data mining and rough sets.
Subjects
Contents
  • 1. Rough Sets / Z. Pawlak -- 2. Data Mining: Trends in Research and Development / J. Deogun, V. Raghavan, A. Sarkar and H. Sever -- 3. A Review of Rough Set Models / Y. Y. Yao, S. K. M. Wong and T. Y. Lin -- 4. Rough Control: A Perspective / T. Munakata -- 5. Machine Learning & Knowledge Acquisition, Rough Sets, and the English Semantic Code / J. Grzymala-Busse, S. Y. Sedelow and W. A. Sedelow -- 6. Generation of Multiple Knowledge from Databases Based on Rough Set Theory / X. Hu, N. Cercone and W. Ziarko -- 7. Fuzzy Controllers: An Integrated Approach Based on Fuzzy Logic, Rough Sets, and Evolutionary Computing / T. Y. Lin -- 8. Rough Real Functions and Rough Controllers / Z. Pawlak -- 9. A Fusion of Rough Sets, Modified Rough Sets, and Genetic Algorithms for Hybrid Diagnostic Systems / R. Hashemi, B. Pearce, R. Arani, W. Hinson and M. Paule --
  • 10. Rough Sets as a Tool for Studying Attribute Dependencies in the Urinary Stones Treatment Data Set / J. Stefanowski and K. Slowinski -- 11. Data Mining Using Attribute-oriented Generalization and Information Reduction / N. Cercone, H. Hamilton, X. Hu and N. Shan -- 12. Neighborhoods, Rough Sets, and Query Relaxation in Cooperative Answering / J. B. Michael and T. Y. Lin -- 13. Resolving Queries through Cooperation in Multi-Agent Systems / Z. Ras -- 14. Synthesis of Decision Systems from Data Tables / A. Skowron and L. Polkowski -- 15. Combination of Rough and Fuzzy Sets Based on Alpha-Level Sets / Y. Y. Yao -- 16. Theories that Combine many Equivalence and Subset Relations / J. Zytkow and R. Zembowicz -- 17. Generalized Rough Sets in Contextual Spaces / E. Bryniarski and U. Wybraniec-Skardowska -- 18. Maintenance of Reducts in the Variable Precision Rough Set Model / M. Kryszkiewicz --
  • 19. Probabilistic Rough Classifiers with Mixture of Discrete and Continuous Attributes / A. Lenarcik and Z. Piasta -- 20. Algebraic Formulation of Machine Learning Methods Based on Rough Sets, Matroid Theory, and Combinatorial Geometry / S. Tsumoto and H. Tanaka -- 21. Topological Rough Algebras / A. Wasilewska.
ISBN
0792398076
LCCN
96027716
OCLC
  • 35243405
  • ocm35243405
Owning Institutions
Columbia University Libraries