Intelligent Data Engineering and Automated Learning – IDEAL 2017 18th International Conference, Guilin, China, October 30 – November 1, 2017, Proceedings /
Intelligent Data Engineering and Automated Learning – IDEAL 2017 18th International Conference, Guilin, China, October 30 – November 1, 2017, Proceedings / [electronic resource] :
edited by Hujun Yin, Yang Gao, Songcan Chen, Yimin Wen, Guoyong Cai, Tianlong Gu, Junping Du, Antonio J. Tallón-Ballesteros, Minling Zhang.
- 1st ed. 2017.
- XVI, 609 p. 198 illus. online resource.
- Information Systems and Applications, incl. Internet/Web, and HCI, 10585 2946-1642 ; .
- Information Systems and Applications, incl. Internet/Web, and HCI, 10585 .
This book constitutes the refereed proceedings of the 18th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2017, held in Guilin, China, in October/November 2017. The 65 full papers presented were carefully reviewed and selected from 110 submissions. These papers provided a sample of latest research outcomes in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis.
9783319689357
10.1007/978-3-319-68935-7 doi
Data mining.
Pattern recognition systems.
Artificial intelligence.
Algorithms.
Information storage and retrieval systems.
Computer science.
Data Mining and Knowledge Discovery.
Automated Pattern Recognition.
Artificial Intelligence.
Algorithms.
Information Storage and Retrieval.
Theory of Computation.
QA76.9.D343
006.312
This book constitutes the refereed proceedings of the 18th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2017, held in Guilin, China, in October/November 2017. The 65 full papers presented were carefully reviewed and selected from 110 submissions. These papers provided a sample of latest research outcomes in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis.
9783319689357
10.1007/978-3-319-68935-7 doi
Data mining.
Pattern recognition systems.
Artificial intelligence.
Algorithms.
Information storage and retrieval systems.
Computer science.
Data Mining and Knowledge Discovery.
Automated Pattern Recognition.
Artificial Intelligence.
Algorithms.
Information Storage and Retrieval.
Theory of Computation.
QA76.9.D343
006.312