Proceedings of the Fifth Euro-China Conference on Intelligent Data Analysis and Applications

This volume of Advances in Intelligent Systems and Computing highlights papers presented at the Fifth Euro-China Conference on Intelligent Data Analysis and Applications (ECC2018), held in Xi'an, China from October 12 to 14 2018. The conference was co-sponsored by Springer, Xi'an Universit...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Krömer, Pavel (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Zhang, Hong (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Liang, Yongquan (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Pan, Jeng-Shyang (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:Advances in Intelligent Systems and Computing, 891
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Περιγραφή
Περίληψη:This volume of Advances in Intelligent Systems and Computing highlights papers presented at the Fifth Euro-China Conference on Intelligent Data Analysis and Applications (ECC2018), held in Xi'an, China from October 12 to 14 2018. The conference was co-sponsored by Springer, Xi'an University of Posts and Telecommunications, VSB Technical University of Ostrava (Czech Republic), Fujian University of Technology, Fujian Provincial Key Laboratory of Digital Equipment, Fujian Provincial Key Lab of Big Data Mining and Applications, and Shandong University of Science and Technology in China. The conference was intended as an international forum for researchers and professionals engaged in all areas of computational intelligence, intelligent control, intelligent data analysis, pattern recognition, intelligent information processing, and applications.
Φυσική περιγραφή:XVIII, 854 p. 437 illus., 289 illus. in color. online resource.
ISBN:9783030037666
ISSN:2194-5357 ;
DOI:10.1007/978-3-030-03766-6