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

• Corporate Author: SpringerLink (Online service)
• Other Authors: Ordonez, Carlos (Editor, http://id.loc.gov/vocabulary/relators/edt), Song, Il-Yeol (Editor, http://id.loc.gov/vocabulary/relators/edt), Anderst-Kotsis, Gabriele (Editor, http://id.loc.gov/vocabulary/relators/edt), Tjoa, A Min (Editor, http://id.loc.gov/vocabulary/relators/edt), Khalil, Ismail (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Information Systems and Applications, incl. Internet/Web, and HCI ; 11708
• Subjects: 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.
• Physical Description: 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.