Computational Collective Intelligence: 7th International Conference, ICCCI 2015, Madrid, Spain, September 21-23, 2015, Proceedings, Part II: Lecture Notes in Computer Science, cartea 9330
Editat de Manuel Núñez, Ngoc Thanh Nguyen, David Camacho, Bogdan Trawińskien Limba Engleză Paperback – 2 noi 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.
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (2) | 331.65 lei 6-8 săpt. | |
Springer International Publishing – 12 sep 2015 | 331.65 lei 6-8 săpt. | |
Springer International Publishing – 2 noi 2015 | 338.29 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783319243054
ISBN-10: 3319243055
Pagini: 661
Ilustrații: XXII, 661 p. 220 illus.
Dimensiuni: 155 x 235 x 38 mm
Greutate: 0.94 kg
Ediția:1st ed. 2015
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3319243055
Pagini: 661
Ilustrații: XXII, 661 p. 220 illus.
Dimensiuni: 155 x 235 x 38 mm
Greutate: 0.94 kg
Ediția:1st ed. 2015
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
Public țintă
ResearchCuprins
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