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New Directions in Rough Sets, Data Mining, and Granular-Soft Computing: 7th International Workshop, RSFDGrC'99, Yamaguchi, Japan, November 9-11, 1999 [Paperback]

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  • Category: Books (Computers)
  • ISBN-10:  3540666451
  • ISBN-10:  3540666451
  • ISBN-13:  9783540666455
  • ISBN-13:  9783540666455
  • Publisher:  Springer
  • Publisher:  Springer
  • Pages:  558
  • Pages:  558
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Feb-1999
  • Pub Date:  01-Feb-1999
  • SKU:  3540666451-11-SPRI
  • SKU:  3540666451-11-SPRI
  • Item ID: 105279481
  • List Price: $109.99
  • Seller: ShopSpell
  • Ships in: 5 business days
  • Transit time: Up to 5 business days
  • Delivery by: Sep 30 to Oct 02
  • Notes: Brand New Book. Order Now.
Invited Talks.- Decision Rules, Bayes Rule and Rough Sets.- A New Direction in System Analysis: From Computation with Measurements to Computation with Perceptions.- On Text Mining Techniques for Personalization.- A Road to Discovery Science.- Rough Computing: Foundations and Applications.- Calculi of Granules Based on Rough Set Theory: Approximate Distributed Synthesis and Granular Semantics for Computing with Words.- Discovery of Rules about Complications.- Rough Genetic Algorithms.- Classifying Faults in High Voltage Power Systems: A Rough-Fuzzy Neural Computational Approach.- Rough Set Theory and Its Applications.- Toward Spatial Reasoning in the Framework of Rough Mereology.- An Algorithm for Finding Equivalence Relations from Tables with Non-deterministic Information.- On the Extension of Rough Sets under Incomplete Information.- On Rough Relations: An Alternative Formulation.- Formal Rough Concept Analysis.- Noise Reduction in Telecommunication Channels Using Rough Sets and Neural Networks.- Rough Set Analysis of Electrostimulation Test Database for the Prediction of Post-Operative Profits in Cochlear Implanted Patients.- A Rough Set-Based Approach to Text Classification.- Modular Rough Fuzzy MLP: Evolutionary Design.- Approximate Reducts and Association Rules.- Handling Missing Values in Rough Set Analysis of Multi-attribute and Multi-criteria Decision Problems.- The Generic Rough Set Inductive Logic Programming Model and Motifs in Strings.- Rough Problem Settings for Inductive Logic Programming.- Using Rough Sets with Heuristics for Feature Selection.- The Discretization of Continuous Attributes Based on Compatibility Rough Set and Genetic Algorithm.- Fuzzy Set Theory and Its Applications.- Level Cut Conditioning Approach to the Necessity MeasureSpecification.- Four c-Regression Methods and Classification Functions.- Context-Free Fuzzy Sets in Data Mining Context.- Applying Fuzzy Hypothesis Testing to Medical Data.- Generating a Macroeconomic Fuzzy Forecastl£7
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