Transactions on Computational Collective Intelligence XXXIII

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Nguyen, Ngoc Thanh (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Kowalczyk, Ryszard (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Xhafa, Fatos (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Transactions on Computational Collective Intelligence, 11610
• Θέματα: User interfaces (Computer systems).; Computers.; Data structures (Computer science).; Computer organization.; User Interfaces and Human Computer Interaction.; Information Systems and Communication Service.; Data Structures and Information Theory.; Computer Systems Organization and Communication Networks.

 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. . 

 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.