Intelligent Data Engineering and Automated Learning – IDEAL 2017 18th International Conference, Guilin, China, October 30 – November 1, 2017, Proceedings /

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 paper...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Yin, Hujun (Επιμελητής έκδοσης), Gao, Yang (Επιμελητής έκδοσης), Chen, Songcan (Επιμελητής έκδοσης), Wen, Yimin (Επιμελητής έκδοσης), Cai, Guoyong (Επιμελητής έκδοσης), Gu, Tianlong (Επιμελητής έκδοσης), Du, Junping (Επιμελητής έκδοσης), Tallón-Ballesteros, Antonio J. (Επιμελητής έκδοσης), Zhang, Minling (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
Σειρά:Lecture Notes in Computer Science, 10585
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Περιγραφή
Περίληψη: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.
Φυσική περιγραφή:XVI, 609 p. 198 illus. online resource.
ISBN:9783319689357
ISSN:0302-9743 ;