Transactions on computational collective intelligence XXXIII / Ngoc Thanh Nguyen, Ryszard Kowalczyk, Fatos Xhafa (eds.).
Nguyen, Ngoc Thanh (Computer scientist), editor.; Kowalczyk, Ryszard, 1961- editor.; Xhafa, Fatos, editor.
2019
Q342
Available Online

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Title Transactions on computational collective intelligence XXXIII / Ngoc Thanh Nguyen, Ryszard Kowalczyk, Fatos Xhafa (eds.).
ISBN 9783662595404 (electronic book)
3662595400 (electronic book)
3662595397
9783662595398
Published Berlin, Germany : Springer, 2019.
Language English
Description 1 online resource (xi, 179 pages) : illustrations
Other Standard Identifiers 10.1007/978-3-662-59
Call Number Q342
Dewey Decimal Classification 006.3
005.437
Summary These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as performance optimization in IoT, big data, reliability, privacy, security, service selection, QoS and machine learning. This thirty-third issue contains 9 selected papers which present new findings and innovative methodologies as well as discuss issues and challenges in the field of collective intelligence from big data and networking paradigms while addressing security, privacy, reliability and optimality to achieve QoS to the benefit of final users.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Added Author Nguyen, Ngoc Thanh (Computer scientist), editor.
Kowalczyk, Ryszard, 1961- editor.
Xhafa, Fatos, editor.
Series Lecture notes in computer science ; 11610.
Available in Other Form Print version: 9783662595398
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Performance Optimization in IoT-based Next-Generation Wireless Sensor Networks
Enabling custom security controls as plugins in service oriented environments
A Flexible Synchronization Protocol to Learn Hidden Topics in P2PPS Systems
QoS Preservation in Web Service Selection
File Assignment Control for a Web System of Contents Categorization
Byzantine Collision-Fast Consensus Protocols
A methodological approach for time series analysis and forecasting of web dynamics
Static and Dynamic Group Migration Algorithms of Virtual Machines to Reduce Energy Consumption of a Server Cluster
Unsupervised Deep Learning for Software Defined Networks Anomalies Detection.

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