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[null,null,"Titolo",null,"Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing [[electronic resource] ] : 15th International Conference, RSFDGrC 2015, Tianjin, China, November 20-23, 2015, Proceedings / / edited by Yiyu Yao, Qinghua Hu, Hong Yu, Jerzy W. Grzymala-Busse"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015"]
[null,null,"ISBN",null,"3-319-25783-8"]
[null,null,"Edizione",null,"[1st ed. 2015.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XVI, 502 p. 84 illus. in color.)"]
[null,null,"Collana",null,"Lecture Notes in Artificial Intelligence ; ; 9437"]
[null,null,"Disciplina",null,"511.322"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Database management"]
[{"$nulls":4},"Numerical analysis"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Pattern recognition"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Information Systems Applications (incl. Internet)"]
[{"$nulls":4},"Database Management"]
[{"$nulls":4},"Numeric Computing"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Pattern Recognition"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Includes index."]
[null,null,null,"Sommario/riassunto","This book constitutes the refereed conference proceedings of the 15th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2015, held in Tianjin, China in November 2015 as one of the co-located conference of the 2015 Joint Rough Set Symposium, JRS 2015. The 44 papers were carefully reviewed and selected from 97 submissions. The papers in this volume cover topics such as rough sets: the experts speak; generalized rough sets; rough sets and graphs; rough and fuzzy hybridization; granular computing; data mining and machine learning; three-way decisions; IJCRS 2015 data challenge."]