Web and Big Data -

Web and Big Data

4th International Joint Conference, APWeb-WAIM 2020, Tianjin, China, September 18-20, 2020, Proceedings, Part I
Buch | Softcover
XXIII, 829 Seiten
2020 | 1st ed. 2020
Springer International Publishing (Verlag)
978-3-030-60258-1 (ISBN)
139,09 inkl. MwSt

This two-volume set, LNCS 11317 and 12318, constitutes the thoroughly refereed proceedings of the 4th International Joint Conference, APWeb-WAIM 2020, held in Tianjin, China, in September 2020. Due to the COVID-19 pandemic the conference was organizedas a fully online conference.
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; Graph Data and Social Networks; Knowledge Graph; Recommender Systems; Information Extraction and Retrieval; Machine Learning; Blockchain; Data Mining; Text Analysis and Mining; Spatial, Temporal and Multimedia Databases; Database Systems; and Demo.

Big Data Analytics.- Graph Data and Social Networks.- Knowledge Graph.- Recommender Systems.- Information Extraction and Retrieval.- machine Learning.- Blockchain.- Data Mining.- Text Analysis and Mining; Spatial, Temporal and Multimedia Databases.- Database Systems; and Demo.

Erscheinungsdatum
Reihe/Serie Information Systems and Applications, incl. Internet/Web, and HCI
Lecture Notes in Computer Science
Zusatzinfo XXIII, 829 p. 371 illus., 239 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 1288 g
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Schlagworte Applications • Artificial Intelligence • Computer Networks • Computer Science • Computer systems • conference proceedings • Databases • Education • Engineering • graph theory • Informatics • Information Retrieval • Internet • learning • Linguistics • machine learning • Mathematics • Network Protocols • Recommender Systems • Research • Semantics • Signal Processing • theoretical computer science • World Wide Web
ISBN-10 3-030-60258-3 / 3030602583
ISBN-13 978-3-030-60258-1 / 9783030602581
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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