Modeling Decisions for Artificial Intelligence 11th International Conference, MDAI 2014, Tokyo, Japan, October 29-31, 2014. Proceedings /

This book constitutes the proceedings of the 11th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2014, held in Tokyo, Japan, in October 2014. The 19 revised full papers presented together with an invited paper were carefully reviewed and selected from 38 submissions...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Torra, Vicenç (Επιμελητής έκδοσης), Narukawa, Yasuo (Επιμελητής έκδοσης), Endo, Yasunori (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
Σειρά:Lecture Notes in Computer Science, 8825
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Modeling Decisions for Artificial Intelligence  |h [electronic resource] :  |b 11th International Conference, MDAI 2014, Tokyo, Japan, October 29-31, 2014. Proceedings /  |c edited by Vicenç Torra, Yasuo Narukawa, Yasunori Endo. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2014. 
300 |a XVIII, 241 p. 47 illus.  |b online resource. 
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490 1 |a Lecture Notes in Computer Science,  |x 0302-9743 ;  |v 8825 
505 0 |a Aggregation Operators and Decision Making -- Inference Systems Optimization -- Clustering and Similarity -- Data Mining and Data Privacy. 
520 |a This book constitutes the proceedings of the 11th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2014, held in Tokyo, Japan, in October 2014. The 19 revised full papers presented together with an invited paper were carefully reviewed and selected from 38 submissions. They deal with the theory and tools for modeling decisions, as well as applications that encompass decision making processes and information fusion techniques and are organized in topical sections on aggregation operators and decision making, optimization, clustering and similarity, and data mining and data privacy. 
650 0 |a Computer science. 
650 0 |a Numerical analysis. 
650 0 |a Data mining. 
650 0 |a Information storage and retrieval. 
650 0 |a Artificial intelligence. 
650 0 |a Pattern recognition. 
650 1 4 |a Computer Science. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Pattern Recognition. 
650 2 4 |a Data Mining and Knowledge Discovery. 
650 2 4 |a Information Storage and Retrieval. 
650 2 4 |a Numeric Computing. 
700 1 |a Torra, Vicenç.  |e editor. 
700 1 |a Narukawa, Yasuo.  |e editor. 
700 1 |a Endo, Yasunori.  |e editor. 
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776 0 8 |i Printed edition:  |z 9783319120539 
830 0 |a Lecture Notes in Computer Science,  |x 0302-9743 ;  |v 8825 
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950 |a Computer Science (Springer-11645)