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Advanced Machine Learning Technologies and Applications - Second International Conference, AMLTA 2014, Cairo, Egypt, November 28-30, 2014. Proceedings (Paperback, 2014 ed.) Loot Price: R3,077
Discovery Miles 30 770
Repayment Terms: R288 pm x 12*
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Advanced Machine Learning Technologies and Applications - Second International Conference, AMLTA 2014, Cairo, Egypt, November...

Advanced Machine Learning Technologies and Applications - Second International Conference, AMLTA 2014, Cairo, Egypt, November 28-30, 2014. Proceedings (Paperback, 2014 ed.)

Aboul Ella Hassanien, Mohamed Tolba, Ahmad Taher Azar

Series: Communications in Computer and Information Science, 488

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Loot Price R3,077 Discovery Miles 30 770 | Repayment Terms: R288 pm x 12*

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This book constitutes the refereed proceedings of the Second International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2014, held in Cairo, Egypt, in November 2014. The 49 full papers presented were carefully reviewed and selected from 101 initial submissions. The papers are organized in topical sections on machine learning in Arabic text recognition and assistive technology; recommendation systems for cloud services; machine learning in watermarking/authentication and virtual machines; features extraction and classification; rough/fuzzy sets and applications; fuzzy multi-criteria decision making; Web-based application and case-based reasoning construction; social networks and big data sets.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Communications in Computer and Information Science, 488
Release date: November 2014
First published: 2014
Editors: Aboul Ella Hassanien • Mohamed Tolba • Ahmad Taher Azar
Dimensions: 235 x 155 x 29mm (L x W x T)
Format: Paperback
Pages: 542
Edition: 2014 ed.
ISBN-13: 978-3-319-13460-4
Categories: Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 3-319-13460-4
Barcode: 9783319134604

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