Web and Big Data Third International Joint Conference, APWeb-WAIM 2019, Chengdu, China, August 1-3, 2019, Proceedings, Part II /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Shao, Jie (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Yiu, Man Lung (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Toyoda, Masashi (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Zhang, Dongxiang (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Wang, Wei (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Cui, Bin (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: Information Systems and Applications, incl. Internet/Web, and HCI ; 11642
• Θέματα: Information storage and retrieval.; Artificial intelligence.; Application software.; Pattern recognition.; Optical data processing.; Information Storage and Retrieval.; Artificial Intelligence.; Computer Appl. in Social and Behavioral Sciences.; Pattern Recognition.; Image Processing and Computer Vision.
• Φυσική περιγραφή: XIX, 431 p. 157 illus., 115 illus. in color. online resource.
• ISBN: 9783030260750
• DOI: 10.1007/978-3-030-26075-0

This two-volume set, LNCS 11641 and 11642, constitutes the thoroughly refereed proceedings of the Third International Joint Conference, APWeb-WAIM 2019, held in Chengdu, China, in August 2019. The 42 full papers presented together with 17 short papers, and 6 demonstration papers were carefully reviewed and selected from 180 submissions. The papers are organized around the following topics: Big Data Analytics; Data and Information Quality; Data Mining and Application; Graph Data and Social Networks; Information Extraction and Retrieval; Knowledge Graph; Machine Learning; Recommender Systems; Storage, Indexing and Physical Database Design; Spatial, Temporal and Multimedia Databases; Text Analysis and Mining; and Demo.