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Rough Set Theory: A True Landmark in Data Analysis

Rough Set Theory: A True Landmark in Data Analysis

Paperback

Series: Studies in Computational Intelligence, Book 174

General ComputersGeneral Mathematics

ISBN10: 3642100627
ISBN13: 9783642100628
Publisher: Springer Nature
Published: Oct 28 2010
Pages: 324
Weight: 1.05
Height: 0.71 Width: 6.14 Depth: 9.21
Language: English
Theoretical Contributions to Rough Set Theory.- Rough Sets on Fuzzy Approximation Spaces and Intuitionistic Fuzzy Approximation Spaces.- Categorical Innovations for Rough Sets.- Granular Structures and Approximations in Rough Sets and Knowledge Spaces.- On Approximation of Classifications, Rough Equalities and Rough Equivalences.- Rough Set Data Mining Activities.- Rough Clustering with Partial Supervision.- A Generic Scheme for Generating Prediction Rules Using Rough Sets.- Rough Web Caching.- Software Defect Classification: A Comparative Study of Rough-Neuro-fuzzy Hybrid Approaches with Linear and Non-linear SVMs.- Rough Hybrid Models to Classification and Attribute Reduction.- Rough Sets and Evolutionary Computation to Solve the Feature Selection Problem.- Nature Inspired Population-Based Heuristics for Rough Set Reduction.- Developing a Knowledge-Based System Using Rough Set Theory and Genetic Algorithms for Substation Fault Diagnosis.

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