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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

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Machine Learning and Knowledge Extraction - First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 - September 1, 2017, Proceedings (Paperback, 1st ed. 2017) Loot Price: R2,396
Discovery Miles 23 960
Machine Learning and Knowledge Extraction - First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE...

Machine Learning and Knowledge Extraction - First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 - September 1, 2017, Proceedings (Paperback, 1st ed. 2017)

Andreas Holzinger, Peter Kieseberg, A. Min Tjoa, Edgar Weippl

Series: Lecture Notes in Computer Science, 10410

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Loot Price R2,396 Discovery Miles 23 960 | Repayment Terms: R225 pm x 12*

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This book constitutes the refereed proceedings of the IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2017, held in Reggio, Italy, in August/September 2017. The 24 revised full papers presented were carefully reviewed and selected for inclusion in this volume. The papers deal with fundamental questions and theoretical aspects and cover a wide range of topics in the field of machine learning and knowledge extraction. They are organized in the following topical sections: MAKE topology; MAKE smart factory; MAKE privacy; MAKE VIS; MAKE AAL; and MAKE semantics.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Lecture Notes in Computer Science, 10410
Release date: August 2017
First published: 2017
Editors: Andreas Holzinger • Peter Kieseberg • A. Min Tjoa • Edgar Weippl
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 376
Edition: 1st ed. 2017
ISBN-13: 978-3-319-66807-9
Categories: Books > Computing & IT > Applications of computing > Databases > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 3-319-66807-2
Barcode: 9783319668079

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