書目名稱 | Next Generation Data Technologies for Collective Computational Intelligence |
編輯 | Nik Bessis,Fatos Xhafa |
視頻video | http://file.papertrans.cn/667/666190/666190.mp4 |
概述 | 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 |
叢書名稱 | Studies in Computational Intelligence |
圖書封面 |  |
描述 | .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 te |
出版日期 | Book 2011 |
關(guān)鍵詞 | Collective Computational Intelligence; Data Grids; Data Stream; Distributed Data Analysis and Modelling |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-642-20344-2 |
isbn_softcover | 978-3-642-26734-5 |
isbn_ebook | 978-3-642-20344-2Series ISSN 1860-949X Series E-ISSN 1860-9503 |
issn_series | 1860-949X |
copyright | Springer Berlin Heidelberg 2011 |