Web and Big Data

Xin Wang

ISBN 10: 3030602893 / ISBN 13: 9783030602895

Editore: Springer International Publishing Okt 2020, 2020

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This item is printed on demand - it takes 3-4 days longer - Neuware -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. 592 pp. Englisch.

Codice articolo 9783030602895

Dati bibliografici

• Titolo: Web and Big Data
• Editore: Springer International Publishing Okt 2020
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 3030602893
• ISBN 13: 9783030602895
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 155 A x 32 P (millimetri) 235 millimetri di larghezza per 155 millimetri di altezza per 32 millimetri di profondità
• Peso: 885 grammi

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.