Intelligent Data Engineering and Automated Learning – IDEAL 2016 17th International Conference, Yangzhou, China, October 12–14, 2016, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Yin, Hujun (Επιμελητής έκδοσης), Gao, Yang (Επιμελητής έκδοσης), Li, Bin (Επιμελητής έκδοσης), Zhang, Daoqiang (Επιμελητής έκδοσης), Yang, Ming (Επιμελητής έκδοσης), Li, Yun (Επιμελητής έκδοσης), Klawonn, Frank (Επιμελητής έκδοσης), Tallón-Ballesteros, Antonio J. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Σειρά: Lecture Notes in Computer Science, 9937
• Θέματα: Computer science.; Computers.; Algorithms.; Data mining.; Information storage and retrieval.; Artificial intelligence.; Pattern recognition.; Computer Science.; Data Mining and Knowledge Discovery.; Pattern Recognition.; Artificial Intelligence (incl. Robotics).; Algorithm Analysis and Problem Complexity.; Information Storage and Retrieval.; Computation by Abstract Devices.
• Φυσική περιγραφή: XVI, 647 p. 209 illus. online resource.
• ISBN: 9783319462578
• ISSN: 0302-9743 ;

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. .