Big Data Analytics and Knowledge Discovery 21st International Conference, DaWaK 2019, Linz, Austria, August 26-29, 2019, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Ordonez, Carlos (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Song, Il-Yeol (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Anderst-Kotsis, Gabriele (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Tjoa, A Min (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Khalil, Ismail (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 ; 11708
• Θέματα: Database management.; Data mining.; Arithmetic and logic units, Computer.; Computer system failures.; Artificial intelligence.; Database Management.; Data Mining and Knowledge Discovery.; Arithmetic and Logic Structures.; System Performance and Evaluation.; Artificial Intelligence.
• Φυσική περιγραφή: XIII, 321 p. 164 illus., 80 illus. in color. online resource.
• ISBN: 9783030275204
• DOI: 10.1007/978-3-030-27520-4

This book constitutes the refereed proceedings of the 21st International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2019, held in Linz, Austria, in September 2019. The 12 full papers and 10 short papers presented were carefully reviewed and selected from 61 submissions. The papers are organized in the following topical sections: Applications; patterns; RDF and streams; big data systems; graphs and machine learning; databases.