Transactions on Rough Sets XIV

✍ Scribed by Hidenao Abe, Shusaku Tsumoto (auth.), James F. Peters, Andrzej Skowron, Hiroshi Sakai, Mihir Kumar Chakraborty, Dominik Slezak, Aboul Ella Hassanien, William Zhu (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2011
• Tongue: English
• Leaves: 241
• Series: Lecture Notes in Computer Science 6600 Journal Subline
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages -
Evaluating a Temporal Pattern Detection Method for Finding Research Keys in Bibliographical Data....Pages 1-17
High Scent Web Page Recommendations Using Fuzzy Rough Set Attribute Reduction....Pages 18-36
A Formal Concept Analysis Approach to Rough Data Tables....Pages 37-61
Rough Multiset and Its Multiset Topology....Pages 62-80
A Rough Set Exploration of Facial Similarity Judgements....Pages 81-99
Evolutionary Tolerance-Based Gene Selection in Gene Expression Data....Pages 100-118
New Approach in Defining Rough Approximations....Pages 119-138
Tolerance Rough Set Theory Based Data Summarization for Clustering Large Datasets....Pages 139-158
Projected Gustafson-Kessel Clustering Algorithm and Its Convergence....Pages 159-182
Generalized Rough Sets and Implication Lattices....Pages 183-201
Classification with Dynamic Reducts and Belief Functions....Pages 202-233
Back Matter....Pages -

✦ Subjects

Mathematical Logic and Formal Languages; Computation by Abstract Devices; Theory of Computation; Image Processing and Computer Vision; Pattern Recognition; Artificial Intelligence (incl. Robotics)