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Computational Collective Intelligence: Lecture Notes in Computer Science, cartea 9330

Editat de Manuel Núñez, Ngoc Thanh Nguyen, David Camacho, Bogdan Trawi¿ski
en Limba Engleză Paperback – 2 noi 2015
This two-volume  set (LNAI 9329 and LNAI 9330) constitutes the refereed proceedings of the 7th International Conference on Collective Intelligence, ICCCI 2014, held in Madrid, Spain, in September 2015.
The 110 full papers presented were carefully reviewed and selected from 186 submissions. They are organized in topical sections such as multi-agent systems; social networks and NLP; sentiment analysis; computational intelligence and games; ontologies and information extraction; formal methods and simulation; neural networks, SMT and MIS; collective intelligence in Web systems – Web systems analysis; computational swarm intelligence; cooperative strategies for decision making and optimization; advanced networking and security technologies; IT in biomedicine; collective computational intelligence in educational context; science intelligence and data analysis; computational intelligence in financial markets; ensemble learning; big data mining and searching.
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Specificații

ISBN-13: 9783319243054
ISBN-10: 3319243055
Pagini: 684
Ilustrații: XXII, 661 p. 220 illus.
Dimensiuni: 155 x 235 x 37 mm
Greutate: 1.02 kg
Ediția:1st edition 2015
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Multi-agent systems.- Social networks and NLP.- Sentiment analysis.-Computational intelligence and games.- Ontologies and information extraction.-Formal methods and simulation.- Neural networks, SMT and MIS.- Collective intelligence in Web systems – Web systems analysis.- Computational swarm intelligence.- Cooperative strategies for decision making and optimization.-Advanced networking and security technologies.- IT in biomedicine.- Collective computational intelligence in educational context.- Science intelligence and data analysis.- Computational intelligence in financial markets.- Ensemble learning.- Big data mining and searching.

Caracteristici

Includes supplementary material: sn.pub/extras