Transactions on Rough Sets XIV

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 re...

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Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Peters, James F. (Επιμελητής έκδοσης), Skowron, Andrzej (Επιμελητής έκδοσης), Sakai, Hiroshi (Επιμελητής έκδοσης), Chakraborty, Mihir Kumar (Επιμελητής έκδοσης), Slezak, Dominik (Επιμελητής έκδοσης), Hassanien, Aboul Ella (Επιμελητής έκδοσης), Zhu, William (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Σειρά:Lecture Notes in Computer Science, 6600
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Διαθέσιμο Online:Full Text via HEAL-Link
Περιγραφή
Περίληψη: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.
Φυσική περιγραφή:VII, 235 p. 56 illus., 11 illus. in color. online resource.
ISBN:9783642215636
ISSN:0302-9743 ;