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Intelligent data engineering and automated learning - IDEAL 2016[electronic resource] :17th International Conference, Yangzhou, China, October 12-14, 2016 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	006.312
書名/作者:	Intelligent data engineering and automated learning - IDEAL 2016 : 17th International Conference, Yangzhou, China, October 12-14, 2016 : proceedings // edited by Hujun Yin ... [et al.].
其他題名:	IDEAL 2016
其他作者:	Yin, Hujun.
團體作者:	Clark Conference
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xvi, 647 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Data mining
標題:	Artificial intelligence
標題:	Computer Science.
標題:	Data Mining and Knowledge Discovery.
標題:	Pattern Recognition.
標題:	Artificial Intelligence (incl. Robotics)
標題:	Algorithm Analysis and Problem Complexity.
標題:	Information Storage and Retrieval.
標題:	Computation by Abstract Devices.
ISBN:	9783319462578
ISBN:	9783319462561
內容註:	Research outcomes in data engineering and automated learning -- Methodologies, frameworks, and techniques -- 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.
摘要、提要註:	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.
電子資源:	http://link.springer.com/openurl.asp?genre=book&isbn=978-3-319-46257-8

Intelligent data engineering and automated learning - IDEAL 2016[electronic resource] :17th International Conference, Yangzhou, China, October 12-14, 2016 : proceedings /
Intelligent data engineering and automated learning - IDEAL 201617th International Conference, Yangzhou, China, October 12-14, 2016 : proceedings /[electronic resource] :IDEAL 2016edited by Hujun Yin ... [et al.]. - Cham :Springer International Publishing :2016. - xvi, 647 p. :ill., digital ;24 cm. - Lecture notes in computer science,99370302-9743 ;. - Lecture notes in computer science ;7103..

Research outcomes in data engineering and automated learning -- Methodologies, frameworks, and techniques -- 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.

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.

ISBN: 9783319462578

Standard No.: 10.1007/978-3-319-46257-8doiSubjects--Topical Terms:

174259
Data mining

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Intelligent data engineering and automated learning - IDEAL 2016[electronic resource] :17th International Conference, Yangzhou, China, October 12-14, 2016 : proceedings /
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