Rough Sets: Lecture Notes in Computer Science, cartea 9920
Editat de Víctor Flores, Yiyu Yao, Fernando Gomide, Andrzej Janusz, Claudio Meneses, Duoqian Miao, Georg Peters, Dominik ¿L¿Zak, Guoyin Wang, Richard Weberen Limba Engleză Paperback – 29 sep 2016
The 46 revised full papers presented together with 7 keynotes, tutorials and expert papers were carefully reviewed and selected from 108 submissions. The papers are grouped in topical sections on Rough Sets, Approximation and Granulation; Rough Sets, Non-Determinism and Incompleteness; Rough Sets and Three-way Decisions; Fuzziness and Similarity in Knowledge Representation; Machine Learning and Decision Making; Ranking and Clustering; Derivation and Application of Rules and Trees; Derivation and Application of Feature Subsets.
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Specificații
ISBN-13: 9783319471594
ISBN-10: 3319471597
Pagini: 612
Ilustrații: XVII, 592 p. 122 illus.
Dimensiuni: 155 x 235 x 33 mm
Greutate: 0.91 kg
Ediția:1st edition 2016
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3319471597
Pagini: 612
Ilustrații: XVII, 592 p. 122 illus.
Dimensiuni: 155 x 235 x 33 mm
Greutate: 0.91 kg
Ediția:1st edition 2016
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
Rough Sets, Approximation and Granulation.- Rough Sets, Non-Determinism and Incompleteness.- Rough Sets and Three-way Decisions.- Fuzziness and Similarity in Knowledge Representation.- Machine Learning and Decision Making.- Ranking and Clustering.- Derivation and Application of Rules and Trees.- Derivation and Application of Feature Subsets.
Caracteristici
Includes supplementary material: sn.pub/extras