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Titlebook: Next Generation Data Technologies for Collective Computational Intelligence; Nik Bessis,Fatos Xhafa Book 2011 Springer Berlin Heidelberg 2

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發(fā)表于 2025-3-21 18:36:34 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Next Generation Data Technologies for Collective Computational Intelligence
編輯Nik Bessis,Fatos Xhafa
視頻videohttp://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Titlebook: Next Generation Data Technologies for Collective Computational Intelligence;  Nik Bessis,Fatos Xhafa Book 2011 Springer Berlin Heidelberg 2
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
doihttps://doi.org/10.1007/978-3-642-20344-2
isbn_softcover978-3-642-26734-5
isbn_ebook978-3-642-20344-2Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer Berlin Heidelberg 2011
The information of publication is updating

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發(fā)表于 2025-3-21 21:07:37 | 只看該作者
https://doi.org/10.1007/978-3-642-20344-2Collective Computational Intelligence; Data Grids; Data Stream; Distributed Data Analysis and Modelling
板凳
發(fā)表于 2025-3-22 03:22:56 | 只看該作者
地板
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Nik Bessis,Fatos XhafaFirst edited book presenting next generation distributed and other emergent collaborative data technologies.For collective and computational intelligence in a unified manner.Describe the incorporation
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發(fā)表于 2025-3-22 13:25:30 | 只看該作者
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發(fā)表于 2025-3-22 17:29:05 | 只看該作者
Ant Colony Optimization and Data Mining seeking for food. After succeeding, they return to their nest. During their move, they lay down pheromone that forms an evaporating chemical path. Other ants that locate this trail, follow it and reinforce it, since they also lay down pheromone. As a result, shorter paths to food have more pheromon
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Building Collective Tag Intelligence through Folksonomy Coordinationilding . which can then be exploited to improve the conventional searching functionalities provided by tagging systems. Collective tag intelligence is organized in form of . with corresponding semantic, terminological, and linguistic relations. For building tag collective intelligence, we define i)
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發(fā)表于 2025-3-23 07:45:20 | 只看該作者
Trust-Based Techniques for Collective Intelligence in Social Search Systemsess. Trust has been always used by humans as a form of collective intelligence to support effective decision making process. Computational trust models are becoming now a popular technique across many applications such as cloud computing, p2p networks, wikis, e-commerce sites, social network. The ch
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