Intelligent Data Engineering and Automated Learning – IDEAL 2016, 1st ed. 2016 17th International Conference, Yangzhou, China, October 12–14, 2016, Proceedings Information Systems and Applications, incl. Internet/Web, and HCI Series
Coordonnateurs : Yin Hujun, Gao Yang, Li Bin, Zhang Daoqiang, Yang Ming, Li Yun, Klawonn Frank, Tallón-Ballesteros Antonio J.
This book constitutes the refereed proceedings of the 17 International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2016, held in Yangzhou, China, in October 2016.
The 68 full papers presented were carefully reviewed and selected from 115 submissions. They provide a valuable and timely sample of latest research outcomes in data engineering and automated learning ranging from methodologies, frameworks, and techniques to applications including various topics such as evolutionary algorithms; deep learning; neural networks; probabilistic modeling; particle swarm intelligence; big data analysis; applications in regression, classification, clustering, medical and biological modeling and predication; text processing and image analysis.
Includes supplementary material: sn.pub/extras
Date de parution : 09-2016
Ouvrage de 647 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 52,74 €
Ajouter au panierThèmes d’Intelligent Data Engineering and Automated Learning –... :
Mots-clés :
bioinformatics; data mining; evolutionary data; machine learning; neural networks; applied computing; artificial intelligence; cloud computing; computing methodologies; data management systems; genetic algorithm; health informatics; human computer interaction; information retrieval; internet of things; middleware; model-checking; neural informatics; Web applications; Web mining
