Web and Big Data

Third International Joint Conference, APWeb-WAIM 2019, Chengdu, China, August 1-3, 2019, Proceedings, Part I
1. Auflage 2019
ISBN: 978-3-030-26071-2
Verlag: Springer

Buch, Englisch, Band 11641, 433 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 686 g

Reihe: Lecture Notes in Computer Science

This two-volume set, LNCS 11641 and 11642, constitutes  the thoroughly refereed proceedings of the Third International Joint Conference, APWeb-WAIM 2019, held in Chengdu, China, in August 2019.  

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; Data and Information Quality; Data Mining and Application; Graph Data and Social Networks; Information Extraction and Retrieval; Knowledge Graph; Machine Learning; Recommender Systems; Storage, Indexing and Physical Database Design; Spatial, Temporal and Multimedia Databases; Text Analysis and Mining; and Demo.

Zielgruppe

Research

Autoren/Hrsg.

Shao, Jie

Yiu, Man Lung

Toyoda, Masashi

Zhang, Dongxiang

Wang, Wei

Cui, Bin

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data

Inhaltsverzeichnis

Big Data Analytics.- Data and Information Quality.- Data Mining and Application.- Graph Data and Social Networks.- Information Extraction and Retrieval.- Knowledge Graph.- Machine Learning.- Recommender Systems.- Storage, Indexing and Physical Database Design.- Spatial, Temporal and Multimedia Databases.- Text Analysis and Mining.