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Web and Big Data [electronic resource] : Third International Joint Conference, APWeb-WAIM 2019, Chengdu, China, August 1-3, 2019, Proceedings, Part II / edited by Jie Shao, Man Lung Yiu, Masashi Toyoda, Dongxiang Zhang, Wei Wang, Bin Cui.

Contributor(s): Shao, Jie [editor.] | Yiu, Man Lung [editor.] | Toyoda, Masashi [editor.] | Zhang, Dongxiang [editor.] | Wang, Wei [editor.] | Cui, Bin [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Information Systems and Applications, incl. Internet/Web, and HCI: 11642Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019.Description: XIX, 431 p. 157 illus., 115 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030260750.Subject(s): Information storage and retrieval systems | Artificial intelligence | Social sciences -- Data processing | Pattern recognition systems | Computer vision | Information Storage and Retrieval | Artificial Intelligence | Computer Application in Social and Behavioral Sciences | Automated Pattern Recognition | Computer VisionAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 025.04 Online resources: Click here to access online
Contents:
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. .
In: Springer Nature eBookSummary: 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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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. .

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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