Transactions on Computational Collective Intelligence XIX

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These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This nineteenth issue contains 11 carefully selected and revised contributions.


Includes supplementary material: sn.pub/extras

Inhalt

Management and Computer Science Synergies: a theoretical framework for context sensitive simulation environment.- Improved Recommendation System Using Friend Relationship in SNS.- Bidirectional Analysis Method of Static XSS Defect Detection Technique Based on Database Query Language.- A Multilevel Security Model for Search Engine over Integrated Data.- Security Analysis of Two Identity Based Proxy Re-encryption Schemes in Multi-user Networks.- Enabling Vehicular Data with Distributed Machine Learning.- Enabling Vehicular Data with Distributed Machine Learning.- Adapting Distributed Evolutionary Algorithms to Heterogeneous Hardware.- Eroca: A Framework for Efficiently Recovering Outsourced Ciphertexts for Autonomous Vehicles.- Coarser-Grained Multi-user Searchable Encryption in Hybrid Cloud.- Quantum information splitting based on entangled states.- Zero-tree Wavelet Algorithm joint with Huffman Encoding for Image Compression.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783662490167
    • Genre Information Technology
    • Auflage 1st ed. 2015
    • Editor Ngoc Thanh Nguyen, Ryszard Kowalczyk, Fatos Xhafa
    • Lesemotiv Verstehen
    • Anzahl Seiten 187
    • Größe H11mm x B155mm x T234mm
    • Jahr 2015
    • EAN 9783662490167
    • Format Kartonierter Einband
    • ISBN 978-3-662-49016-7
    • Titel Transactions on Computational Collective Intelligence XIX
    • Untertitel Lecture Notes in Computer Science 9380 - Transactions on Computational Collectiv
    • Gewicht 312g
    • Herausgeber Springer
    • Sprache Englisch

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