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Titlebook: Superplumes: Beyond Plate Tectonics; David A. Yuen,Shigenori Maruyama,Brian F. Windley Book 2007 Springer Science+Business Media B.V. 2007

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Tsuyoshi Komiyahods for constructing MGrIKR based on rough sets, computing with words(CW), fuzzy quotient space based on information entropy, adaptive Gaussian cloud transformation (A-GCT), and multi-granularity clustering based on density peaks, respectively. At last we present an MGrC based big data processing f
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hods for constructing MGrIKR based on rough sets, computing with words(CW), fuzzy quotient space based on information entropy, adaptive Gaussian cloud transformation (A-GCT), and multi-granularity clustering based on density peaks, respectively. At last we present an MGrC based big data processing f
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Frédéric Deschamps,Jeannot Trampert,Paul J. Tackleyinalities. Second, we prune the set of objects not assigned to any extended lower approximation. Then, from a definable set, for a given ., we derive a classification function, which indicates assignment of an object to one of the two unions of decision classes. We define empirical risk associated w
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Shun-Ichiro Karatopper approximation. Similarly, the set of all discriminant rules for a given class that are partially true is semantically equivalent to approximate lower approximation of the class. The notion of the approximate lower approximation extends to any classification operator (method, algorithm) the idea
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Yukio Isozakion Rough Set Theory and Applications. In particular, this was the ninth meeting in the series and the first international conference. The aim of RSFDGrC2003 was to bring together researchers from diverse fields of expertise in order to facilitate mutual understanding and cooperation and to help in c
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Edward J. Garnero,Michael S. Thorne,Allen McNamara,Sebastian Rost
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