Web and Big Data

ISBN 10: 3030602893 / ISBN 13: 9783030602895

Editore: Springer, 2020

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Print on Demand pp. XXIV, 565 237 illus., 190 illus. in color.

Codice articolo 379341761

Dati bibliografici

• Titolo: Web and Big Data
• Editore: Springer
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 3030602893
• ISBN 13: 9783030602895
• Rilegatura: Brossura
• Condizione: New

Descrizione articolo

Riassunto

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.