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Rough Sets

International Joint Conference, IJCRS 2016, Santiago de Chile, Chile, October 7-11, 2016, Proceedings

Jezik AngleščinaAngleščina
Knjiga Mehka
Knjiga Rough Sets Víctor Flores
Koda Libristo: 14208639
Založba Springer International Publishing AG, september 2016
This book constitutes the refereed proceedings of the International Joint Conference on Rough Sets,... Celoten opis
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This book constitutes the refereed proceedings of the International Joint Conference on Rough Sets, IJCRS 2016, held in Santiago de Chile, Chile, in October 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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O knjigi

Polni naslov Rough Sets
Avtor Víctor Flores, Yiyu Yao, Fernando Gomide, Andrzej Janusz, Claudio Meneses, Duoqian Miao, Georg Peters, Dominik Slezak, Guoyin Wang, Richard Weber
Jezik Angleščina
Vezava Knjiga - Mehka
Datum izida 2016
Število strani 592
EAN 9783319471594
ISBN 3319471597
Koda Libristo 14208639
Založba Springer International Publishing AG
Teža 9124
Mere 155 x 235 x 31

Kategorije

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Computing & Information Technology > Digital lifestyle > Internet guides & online services > Internet searching
Computing & Information Technology > Computer science > Human–computer interaction > User interface design & usability
Computing & Information Technology > Computer programming / software engineering > Database programming
Computing & Information Technology > Databases > Data warehousing
Computing & Information Technology > Databases > Data mining
Computing & Information Technology > Databases > Information retrieval
Computing & Information Technology > Computer science > Artificial intelligence
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