Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 11th International Conference, Rsfdgrc 2007, Toronto, Canada, May 14-16, 2007, Proceedings

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Format: Paperback
Pub. Date: 2007-06-01
Publisher(s): Springer Verlag
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Summary

This book constitutes the refereed proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2007, held in Toronto, Canada in May 2007 in conjunction with the Second International Conference on Rough Sets and Knowledge Technology, RSKT 2007, both as part of the Joint Rough Set Symposium, JRS 2007. The 65 revised full papers presented together with 4 invited papers were carefully reviewed and selected from a total of 319 general submissions to the JRS 2007 symposium. The papers are organized in topical sections on fuzzy-rough hybridization, fuzzy sets, soft computing in medical image processing, soft computing in information retrieval, clustering, text and Web mining, learning, data mining and rough classifiers, granular computing, soft computing in multimedia processing, soft computing applications, and rough and complex concepts.

Table of Contents

Toward rough-granular computingp. 1
Data clustering algorithms for information systemsp. 13
From parallel data mining to grid-enabled distributed knowledge discoveryp. 25
A new algorithm for attribute reduction in decision tablesp. 37
Algebraic properties of adjunction-based fuzzy rough setsp. 47
Fuzzy approximation operators based on coveringsp. 55
Information-theoretic measure of uncertainty in generalized fuzzy rough setsp. 63
Determining significance of attributes in the unified rough set approachp. 71
A rough-hybrid approach to software defect classificationp. 79
Vaguely quantified rough setsp. 87
A fuzzy search engine weighted approach to result merging for metasearchp. 95
A fuzzy group decision approach to real option valuationp. 103
Fuzzifying closure systems and fuzzy latticesp. 111
Evolution of fuzzy system models : an overview and new directionsp. 119
A new cluster validity index for fuzzy clustering based on similarity measurep. 127
A new classifier design with fuzzy functionsp. 136
Image analysis of ductal proliferative lesions of breast using architectural featuresp. 144
Nucleus segmentation and recognition of uterine cervical pap-smearsp. 153
A study : segmentation of lateral ventricles in brain MRI using fuzzy C-means clustering with Gaussian smoothingp. 161
Ischemic stroke modeling : multiscale extraction of hypodense signsp. 171
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