Computational Collective Intelligence: 7th International Conference, ICCCI 2015, Madrid, Spain, September 21-23, 2015, Proceedings, Part II

by Manuel Núñez (Editor), Ngoc Thanh Nguyen (Editor), David Camacho (Editor), Bogdan Trawinski (Editor)

Overview

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.

Product Details

ISBN-13:	9783319243054
Publisher:	Springer International Publishing
Publication date:	10/23/2015
Series:	Lecture Notes in Computer Science , #9330
Edition description:	1st ed. 2015
Pages:	661
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

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.