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11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007 (Lecture Notes in Computer Science)

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The cover of “Rough Sets, Fuzzy Sets, Data Mining and Granular Computing” - Open Library.

"Rough Sets, Fuzzy Sets, Data Mining and Granular Computing" is published by Springer in June 11, 2007 - Berlin, Heidelberg, it has 585 pages and the language of the book is English.


“Rough Sets, Fuzzy Sets, Data Mining and Granular Computing” Metadata:

  • Title: ➤  Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
  • Author: ➤  
  • Language: English
  • Number of Pages: 585
  • Publisher: Springer
  • Publish Date:
  • Publish Location: Berlin, Heidelberg

“Rough Sets, Fuzzy Sets, Data Mining and Granular Computing” Subjects and Themes:

Edition Specifications:

  • Format: Paperback
  • Weight: 2.6 pounds
  • Dimensions: 9.2 x 6.5 x 1.4 inches

Edition Identifiers:

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"Rough Sets, Fuzzy Sets, Data Mining and Granular Computing" Description:

Open Data:

Intro -- Preface -- Organization -- Toward Rough-Granular Computing -- Data Clustering Algorithms for Information Systems -- Introduction -- Existing Studies of Clustering in Rough Sets -- A Method of Poset-Valued Clustering -- A Generalization of Agglomerative Clustering -- Distance and the Poset-Valued Clustering -- K-Means Algorithms for Information Systems -- K-Mode Algorithm -- Kernel-Based Algorithm -- Conclusion -- From Parallel Data Mining to Grid-Enabled Distributed Knowledge Discovery -- Introduction -- Parallel and Distributed Data Mining -- Parallel Data Mining -- Distributed Data Mining -- Grid-Based Data Mining -- The Knowledge Grid -- Conclusion -- A New Algorithm for Attribute Reduction in Decision Tables -- Introduction -- Related Work -- Traditional Discernibility Matrix and Attribute Reduction -- Other Improved Matrix and Attribute Reduction Algorithms -- The ARIMC Algorithm -- The Improved Discernibility Matrix (IDM) -- Description of the ARIMC Algorithm -- An Example -- Experimental Results and Analysis -- Conclusion -- References -- Algebraic Properties of Adjunction-Based Fuzzy Rough Sets -- Introduction -- Preliminaries -- Generalized Fuzzy Rough Sets -- Generalized Fuzzy Rough Approximation Operators in Special Fuzzy Rough Universes -- Conclusions -- Fuzzy Approximation Operators Based on Coverings -- Introduction -- Preliminaries -- Fuzzy Approximation Operators Based on Coverings -- Comparison of Fuzzy Approximation Operators -- Conclusion -- Information-Theoretic Measure of Uncertainty in Generalized Fuzzy Rough Sets -- Introduction -- Generalized Fuzzy Rough Sets -- Entropy of a Generalized Fuzzy Approximation Space -- Uncertainty in Generalized Fuzzy Rough Sets -- Conclusion -- Determining Significance of Attributes in the Unified Rough Set Approach -- Introduction -- Unified Crisp Rough Set Model

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