Web and Big Data (eBook, PDF)

4th International Joint Conference, APWeb-WAIM 2020, Tianjin, China, September 18-20, 2020, Proceedings, Part II
Redaktion: Wang, Xin; Moon, Yang-Sae; Sun, Le; Lee, Young-Koo; Zhang, Rui

• Format: PDF

Produktbeschreibung

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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 565
• Erscheinungstermin: 13. Oktober 2020
• Englisch
• ISBN-13: 9783030602901
• Artikelnr.: 62300590

Inhaltsangabe

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.