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Rough Sets - International Joint Conference, IJCRS 2019, Debrecen, Hungary, June 17-21, 2019, Proceedings (Paperback, 1st ed. 2019) Loot Price: R1,622
Discovery Miles 16 220
Repayment Terms: R152 pm x 12*
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Rough Sets - International Joint Conference, IJCRS 2019, Debrecen, Hungary, June 17-21, 2019, Proceedings (Paperback, 1st ed....

Rough Sets - International Joint Conference, IJCRS 2019, Debrecen, Hungary, June 17-21, 2019, Proceedings (Paperback, 1st ed. 2019)

Tamas Mihalydeak, Fan Min, Guoyin Wang, Mohua Banerjee, Ivo Duntsch, Zbigniew Suraj, Davide Ciucci

Series: Lecture Notes in Artificial Intelligence, 11499

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Loot Price R1,622 Discovery Miles 16 220 | Repayment Terms: R152 pm x 12*

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This LNAI 11499 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2019, held in Debrecen, Hungary, in June 2019.The 41 full papers were carefully reviewed and selected from 71 submissions. The IJCRS conferences aim at bringing together experts from universities and research centers as well as the industry representing fields of research in which theoretical and applicational aspects of rough set theory already find or may potentially find usage. The papers are grouped in topical sections on core rough set models and methods; related methods and hybridization; areas of application.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Lecture Notes in Artificial Intelligence, 11499
Release date: June 2019
First published: 2019
Editors: Tamas Mihalydeak • Fan Min • Guoyin Wang • Mohua Banerjee • Ivo Duntsch • Zbigniew Suraj • Davide Ciucci
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 550
Edition: 1st ed. 2019
ISBN-13: 978-3-03-022814-9
Categories: Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-03-022814-2
Barcode: 9783030228149

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