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Web and Big Data
Details
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.
Inhalt
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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783030602581
- Editor Xin Wang, Rui Zhang, Yang-Sae Moon, Le Sun, Young-Koo Lee
- Sprache Englisch
- Auflage 1st edition 2020
- Größe H235mm x B155mm x T46mm
- Jahr 2020
- EAN 9783030602581
- Format Kartonierter Einband
- ISBN 3030602583
- Veröffentlichung 16.10.2020
- Titel Web and Big Data
- Untertitel 4th International Joint Conference, APWeb-WAIM 2020, Tianjin, China, September 18-20, 2020, Proceedings, Part I
- Gewicht 1270g
- Herausgeber Springer International Publishing
- Anzahl Seiten 856
- Lesemotiv Verstehen
- Genre Informatik