Overview
- First edited book presenting next generation distributed and other emergent collaborative data technologies
- For collective and computational intelligence in a unified manner
- Describe the incorporation of various next generation data technologies such as data grids and Web 2.0 to collective computational intelligence
- Written by experts in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 352)
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Table of contents (22 chapters)
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Front Matter
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Foundations and Principles
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Front Matter
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Advanced Models and Practices
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Front Matter
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Advanced Applications
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Front Matter
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Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Next Generation Data Technologies for Collective Computational Intelligence
Editors: Nik Bessis, Fatos Xhafa
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-20344-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Berlin Heidelberg 2011
Hardcover ISBN: 978-3-642-20343-5Published: 28 April 2011
Softcover ISBN: 978-3-642-26734-5Published: 21 April 2013
eBook ISBN: 978-3-642-20344-2Published: 29 June 2011
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XVIII, 638
Topics: Computational Intelligence, Artificial Intelligence, Information Systems Applications (incl. Internet)