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Produktbild: Web and Big Data
Band 11642

Web and Big Data Third International Joint Conference, APWeb-WAIM 2019, Chengdu, China, August 1–3, 2019, Proceedings, Part II

Aus der Reihe Lecture Notes in Computer Science

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Beschreibung

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...

Beschreibung

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.

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

17.07.2019
Abbildungen

XIX, 431 p. 157 illus., 115 illus. in color.
Herausgeber Jie Shao + weitere

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

17.07.2019
Abbildungen

XIX, 431 p. 157 illus., 115 illus. in color.
Herausgeber
Verlag Springer
Seitenzahl

431
Maße (L/B/H)

23,5/15,5/2,5 cm
Gewicht

680 g
Auflage

19001 Auflage 1st edition 2019
Sprache

Englisch
ISBN

978-3-030-26074-3
Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Web and Big Data

  • 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.