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Transactions on computational collective intelligence XXXIII

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Transactions on computational collective intelligence XXXIII/ edited by Ngoc Thanh Nguyen, Ryszard Kowalczyk, Fatos Xhafa.
remainder title:	Transactions on computational collective intelligence 33
other author:	Nguyen, Ngoc Thanh.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2019.,
Description:	xi, 179 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-662-59540-4
ISBN:	9783662595404

Transactions on computational collective intelligence XXXIII
Transactions on computational collective intelligence XXXIII[electronic resource] /Transactions on computational collective intelligence 33edited by Ngoc Thanh Nguyen, Ryszard Kowalczyk, Fatos Xhafa. - Berlin, Heidelberg :Springer Berlin Heidelberg :2019. - xi, 179 p. :ill., digital ;24 cm. - Lecture notes in computer science,116100302-9743 ;. - Lecture notes in computer science ;6140..

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.

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.

ISBN: 9783662595404

Standard No.: 10.1007/978-3-662-59540-4doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Transactions on computational collective intelligence XXXIII
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