Web and Big Data (eBook, PDF)

Third International Joint Conference, APWeb-WAIM 2019, Chengdu, China, August 1-3, 2019, Proceedings, Part I
Redaktion: Shao, Jie; Cui, Bin; Wang, Wei; Zhang, Dongxiang; Toyoda, Masashi; Yiu, Man Lung

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer-Verlag GmbH
• Seitenzahl: 433
• Erscheinungstermin: 25. Juli 2019
• Englisch
• ISBN-13: 9783030260729
• Artikelnr.: 57197037

Inhaltsangabe

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.