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.
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.

Intelligent Data Engineering and Automated Learning - IDEAL 2016: 17th International Conference, Yangzhou, China, October 12-14, 2016, Proceedings
647
Intelligent Data Engineering and Automated Learning - IDEAL 2016: 17th International Conference, Yangzhou, China, October 12-14, 2016, Proceedings
647Paperback(1st ed. 2016)
Product Details
ISBN-13: | 9783319462561 |
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Publisher: | Springer International Publishing |
Publication date: | 10/21/2016 |
Series: | Lecture Notes in Computer Science , #9937 |
Edition description: | 1st ed. 2016 |
Pages: | 647 |
Product dimensions: | 6.10(w) x 9.25(h) x 0.05(d) |