Big Data 7th CCF Conference, BigData 2019, Wuhan, China, September 26-28, 2019, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Jin, Hai (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Lin, Xuemin (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Cheng, Xueqi (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Shi, Xuanhua (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Xiao, Nong (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Huang, Yihua (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Communications in Computer and Information Science, 1120
• Θέματα: Big data.; Computers.; Machine learning.; Computer communication systems.; Optical data processing.; Architecture, Computer.; Big Data.; Information Systems and Communication Service.; Machine Learning.; Computer Communication Networks.; Computer Imaging, Vision, Pattern Recognition and Graphics.; Computer System Implementation.
• Φυσική περιγραφή: XV, 432 p. 284 illus., 134 illus. in color. online resource.
• ISBN: 9789811518997
• ISSN: 1865-0929 ;
• DOI: 10.1007/978-981-15-1899-7

This book constitutes the proceedings of the 7th CCF Conference on Big Data, BigData 2019, held in Wuhan, China, in October 2019. The 30 full papers presented in this volume were carefully reviewed and selected from 324 submissions. They were organized in topical sections as follows: big data modelling and methodology; big data support and architecture; big data processing; big data analysis; and big data application.