00000cmm a22000004a 4500 UP-99796217611212001 Buklod 20140423143059.0 m go j cr cn |||aaaaa 110628s2011 xx u | eng d 9783642203442 (eBooks) 3642203442 (eBooks) (iLib)UPD-00214608145 DML eng DMLUC Q 342 N49 2011eb Next generation data technologies for collective computational intelligence [electronic resource] Nik Bessis, Fatos Xhafa, editors. Berlin Heidelberg Springer c2011. 1 online resource (xvii, 638 p.) Studies in Computational Intelligence 352 Part I: Foundations and Principles -- Part II: Advanced Models and Practices -- Part III: Advanced Applications Section IV: Future Trends and Concepts. IP-based subscription, access limited to within on-campus computer network. Access via Electronic Resources of the UPD University Library Website. 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. Electronic reproduction. New York SpringerLink 2011. Available via World Wide Web through SpringerLink. Computational intelligence. Swarm intelligence. Electronic books. Bessis, Nik 1967-. Xhafa, Fatos. SpringerLink (Online service). Available for University of the Philippines Diliman via SpringerLink. Click here to access http://link.springer.com/book/10.1007/978-3-642-20344-2 FO Monograph UPD DMLR Electronic Resource