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Transactions on Large-Scale Data- and Knowledge-Centered Systems XXIII - Selected Papers from FDSE 2014 (Paperback, 1st ed. 2016) Loot Price: R1,922
Discovery Miles 19 220
Transactions on Large-Scale Data- and Knowledge-Centered Systems XXIII - Selected Papers from FDSE 2014 (Paperback, 1st ed....

Transactions on Large-Scale Data- and Knowledge-Centered Systems XXIII - Selected Papers from FDSE 2014 (Paperback, 1st ed. 2016)

Abdelkader Hameurlain, Josef Kung, Roland Wagner, Tran Khanh Dang, Nam Thoai

Series: Transactions on Large-Scale Data- and Knowledge-Centered Systems, 9480

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Loot Price R1,922 Discovery Miles 19 220 | Repayment Terms: R180 pm x 12*

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This volume, the 23rd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems,focuses on information and security engineering. It contains five revised and extended papers selected from the proceedings of the First International Conference on Future Data and Security Engineering, FDSE 2014, held in Ho Chi Minh City, Vietnam, November 19-21, 2014. The titles of the five papers are as follows: A Natural Language Processing Tool for White Collar Crime Investigation; Data Leakage Analysis of the Hibernate Query Language on a Propositional Formulae Domain; An Adaptive Similarity Search in Massive Datasets; Semantic Attack on anonymized Transactions; and Private Indexes for Mixed Encrypted Databases.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Transactions on Large-Scale Data- and Knowledge-Centered Systems, 9480
Release date: February 2016
First published: 2016
Editors: Abdelkader Hameurlain • Josef Kung • Roland Wagner • Tran Khanh Dang • Nam Thoai
Dimensions: 235 x 155 x 7mm (L x W x T)
Format: Paperback
Pages: 125
Edition: 1st ed. 2016
ISBN-13: 978-3-662-49174-4
Categories: Books > Computing & IT > Computer communications & networking > Network security
Books > Computing & IT > Applications of computing > Databases > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 3-662-49174-5
Barcode: 9783662491744

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