Transactions on Rough Sets XIV

1. Front Matter

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2. Evaluating a Temporal Pattern Detection Method for Finding Research Keys in Bibliographical Data

   • Hidenao Abe, Shusaku Tsumoto

   Pages 1-17

3. High Scent Web Page Recommendations Using Fuzzy Rough Set Attribute Reduction

   • Punam Bedi, Suruchi Chawla

   Pages 18-36

4. A Formal Concept Analysis Approach to Rough Data Tables

   • Bernhard Ganter, Christian Meschke

   Pages 37-61

5. Rough Multiset and Its Multiset Topology

   • K. P. Girish, Sunil Jacob John

   Pages 62-80

6. A Rough Set Exploration of Facial Similarity Judgements

   • Daryl H. Hepting, Richard Spring, Dominik Ślęzak

   Pages 81-99

7. Evolutionary Tolerance-Based Gene Selection in Gene Expression Data

   • Na Jiao

   Pages 100-118

8. New Approach in Defining Rough Approximations

   • E. K. R. Nagarajan, D. Umadevi

   Pages 119-138

9. Tolerance Rough Set Theory Based Data Summarization for Clustering Large Datasets

   • Bidyut Kr. Patra, Sukumar Nandi

   Pages 139-158

10. Projected Gustafson-Kessel Clustering Algorithm and Its Convergence

    • Charu Puri, Naveen Kumar

    Pages 159-182

11. Generalized Rough Sets and Implication Lattices

    • Pulak Samanta, Mihir Kumar Chakraborty

    Pages 183-201

12. Classification with Dynamic Reducts and Belief Functions

    • Salsabil Trabelsi, Zied Elouedi, Pawan Lingras

    Pages 202-233

13. Back Matter

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The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence. Volume XIV contains 11 revised extended papers from the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2009, held in Delhi, India. The topics include various rough set generalizations in combination with formal concept analysis, lattice theory, fuzzy sets and belief functions, rough and fuzzy clustering techniques, as well as applications to gene selection, web page recommendation systems, facial recognition, and temporal pattern detection. in addition, this volume contains a regular article on rough multiset and its multiset topology.

• approximation operators
• classification
• microarray data
• modal logic
• uncertainty

• University of Manitoba, Winnipeg, Canada

  James F. Peters

• University of Warsaw, Warsaw, Poland

  Andrzej Skowron, Dominik Slezak

• Kyushu Institute of Technology, Tobata, Japan

  Hiroshi Sakai

• Jadavpur University, Kolkata, Indian Statistical Institute, Kolkata, India

  Mihir Kumar Chakraborty

• Cairo University, Orman, Egypt

  Aboul Ella Hassanien

• Zhangzhou Normal University, Fujian, China

  William Zhu

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