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Next Generation Data Technologies for Collective Computational Intelligence (Hardcover, 2011 Ed.) Loot Price: R6,173
Discovery Miles 61 730
Next Generation Data Technologies for Collective Computational Intelligence (Hardcover, 2011 Ed.): Nik Bessis, Fatos Xhafa

Next Generation Data Technologies for Collective Computational Intelligence (Hardcover, 2011 Ed.)

Nik Bessis, Fatos Xhafa

Series: Studies in Computational Intelligence, 352

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Loot Price R6,173 Discovery Miles 61 730 | Repayment Terms: R579 pm x 12*

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This book focuses on next generation data technologies in support of collective and computational intelligence. The book brings various next generation data technologies together to capture, integrate, analyze, mine, annotate and visualize distributed data - made available from various community users - in a meaningful and collaborative for the organization manner. A unique perspective on collective computational intelligence is offered by embracing both theory and strategies fundamentals such as data clustering, graph partitioning, collaborative decision making, self-adaptive ant colony, swarm and evolutionary agents. It also covers emerging and next generation technologies in support of collective computational intelligence such as Web 2.0 social networks, semantic web for data annotation, knowledge representation and inference, data privacy and security, and enabling distributed and collaborative paradigms such as P2P, Grid and Cloud Computing due to the geographically dispersed and distributed nature of the data. The book aims to cover in a comprehensive manner the combinatorial effort of utilizing and integrating various next generations collaborative and distributed data technologies for computational intelligence in various scenarios. The book also distinguishes itself by assessing whether utilization and integration of next generation data technologies can assist in the identification of new opportunities, which may also be strategically fit for purpose.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Studies in Computational Intelligence, 352
Release date: April 2011
First published: 2011
Editors: Nik Bessis • Fatos Xhafa
Dimensions: 235 x 155 x 34mm (L x W x T)
Format: Hardcover
Pages: 638
Edition: 2011 Ed.
ISBN-13: 978-3-642-20343-5
Categories: Books > Computing & IT > Applications of computing > Databases > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 3-642-20343-4
Barcode: 9783642203435

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