Web and Big Data

4th International Joint Conference, APWeb-WAIM 2020, Tianjin, China, September 18-20, 2020, Proceedings, Part I
1. Auflage 2020
ISBN: 978-3-030-60258-1
Verlag: Springer International Publishing

Buch, Englisch, Band 12317, 829 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1270 g

Reihe: Lecture Notes in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Wang, Xin

Zhang, Rui

Moon, Yang-Sae

Lee, Young-Koo

Sun, Le

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung

Inhaltsverzeichnis

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.