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

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Rough Sets, Fuzzy Sets, Data Mining and Granular Computing

11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007

By: Aijun An (Editor), Witold Pedrycz (Editor), Sheela Ramanna (Editor), Jerzy Stefanowski (Editor), Cory Butz (Editor)

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Paperback | 27 April 2007

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608 Pages

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This volume contains the papers selected for presentation at the 11th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2007), a part of the Joint Rough Set Symposium (JRS 2007) organized by Infobright Inc. and York University. JRS 2007 was held for the ?rst time during May 14-16, 2007 in MaRS Discovery District, Toronto, Canada. It consisted of two conferences: RSFDGrC 2007 and the Second Int- national Conference on Rough Sets and Knowledge Technology (RSKT 2007). The two conferences that constituted JRS 2007 investigated rough sets as an emerging methodology established more than 25 years ago by Zdzis law Pawlak. Roughsettheoryhasbecomeanintegralpartofdiversehybridresearchstreams. In keeping with this trend, JRS 2007 encompassed rough and fuzzy sets, kno- edgetechnologyanddiscovery, softandgranularcomputing, dataprocessingand mining, while maintaining an emphasis on foundations and applications. RSFDGrC 2007 followed in the footsteps of well-established international initiatives devoted to the dissemination of rough sets research, held so far in Canada, China, Japan, Poland, Sweden, and the USA. RSFDGrC was ?rst - ganized as the 7th International Workshop on Rough Sets, Data Mining and Granular Computing held in Yamaguchi, Japan in 1999. Its key feature was to stress the role of integrating intelligent information methods to solve real-world, large, complex problems concerned with uncertainty and fuzziness. RSFDGrC achieved the status of a bi-annual international conference, starting from 2003 in Chongqing, China.

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Non-Fiction Mathematics Mathematical Foundation Set Theory Computing & I.T.Databases Data Mining Mathematical Logic Computer Science Artificial Intelligence Computer Vision

Toward rough-granular computing	p. 1
Data clustering algorithms for information systems	p. 13
From parallel data mining to grid-enabled distributed knowledge discovery	p. 25
A new algorithm for attribute reduction in decision tables	p. 37
Algebraic properties of adjunction-based fuzzy rough sets	p. 47
Fuzzy approximation operators based on coverings	p. 55
Information-theoretic measure of uncertainty in generalized fuzzy rough sets	p. 63
Determining significance of attributes in the unified rough set approach	p. 71
A rough-hybrid approach to software defect classification	p. 79
Vaguely quantified rough sets	p. 87
A fuzzy search engine weighted approach to result merging for metasearch	p. 95
A fuzzy group decision approach to real option valuation	p. 103
Fuzzifying closure systems and fuzzy lattices	p. 111
Evolution of fuzzy system models : an overview and new directions	p. 119
A new cluster validity index for fuzzy clustering based on similarity measure	p. 127
A new classifier design with fuzzy functions	p. 136
Image analysis of ductal proliferative lesions of breast using architectural features	p. 144
Nucleus segmentation and recognition of uterine cervical pap-smears	p. 153
A study : segmentation of lateral ventricles in brain MRI using fuzzy C-means clustering with Gaussian smoothing	p. 161
Ischemic stroke modeling : multiscale extraction of hypodense signs	p. 171
Table of Contents provided by Blackwell. All Rights Reserved.

Rough Sets, Fuzzy Sets, Data Mining and Granular Computing

11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007

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