Computational Collective Intelligence: Lecture Notes in Computer Science, cartea 9329
Editat de Manuel Núñez, Ngoc Thanh Nguyen, David Camacho, Bogdan Trawi¿skien Limba Engleză Paperback – 12 sep 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) | 334.63 lei 6-8 săpt. | |
| Springer – 12 sep 2015 | 334.63 lei 6-8 săpt. | |
| Springer – 2 noi 2015 | 341.81 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783319240688
ISBN-10: 3319240684
Pagini: 544
Ilustrații: XXVIII, 515 p. 140 illus. in color.
Dimensiuni: 155 x 235 x 30 mm
Greutate: 0.81 kg
Ediția:1st edition 2015
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3319240684
Pagini: 544
Ilustrații: XXVIII, 515 p. 140 illus. in color.
Dimensiuni: 155 x 235 x 30 mm
Greutate: 0.81 kg
Ediția:1st edition 2015
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
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
Up-to-date results Includes supplementary material: sn.pub/extras