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Transactions on Computational Collective Intelligence XIX [electronic resource] / edited by Ngoc Thanh Nguyen, Ryszard Kowalczyk, Fatos Xhafa.

Medverkande: Materialtyp: TextSerie: Transactions on Computational Collective Intelligence ; 9380Utgivningsuppgift: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015Utgåva: 1st ed. 2015Beskrivning: 1 online resource (XI, 187 p. 65 illus.). 65 illus. in colorInnehållstyp:
  • text
Medietyp:
  • computer
Bärartyp:
  • online resource
ISBN:
  • 9783662490174
Ämnen: Fler format: Printed edition:: Ingen titel; Printed edition:: Ingen titelDDK-klassifikation:
  • 006.3 23
Library of Congress (LC) klassifikationskod:
  • Q334-342
  • TA347.A78
Onlineresurser:
Innehåll:
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.
I: Springer Nature eBookSammanfattning: 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.
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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.

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.

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