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190802 ||| eng |
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|a 9783030260750
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|a Shao, Jie
|e [editor]
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|a Web and Big Data
|h Elektronische Ressource
|b Third International Joint Conference, APWeb-WAIM 2019, Chengdu, China, August 1–3, 2019, Proceedings, Part II
|c edited by Jie Shao, Man Lung Yiu, Masashi Toyoda, Dongxiang Zhang, Wei Wang, Bin Cui
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|a 1st ed. 2019
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|a Cham
|b Springer International Publishing
|c 2019, 2019
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300 |
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|a XIX, 431 p. 157 illus., 115 illus. in color
|b online resource
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|a 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.
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653 |
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|a Computer vision
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653 |
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|a Computer Application in Social and Behavioral Sciences
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653 |
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|a Artificial Intelligence
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653 |
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|a Information Storage and Retrieval
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653 |
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|a Social sciences / Data processing
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653 |
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|a Computer Vision
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653 |
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|a Information storage and retrieval systems
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653 |
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|a Artificial intelligence
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653 |
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|a Automated Pattern Recognition
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653 |
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|a Pattern recognition systems
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700 |
1 |
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|a Yiu, Man Lung
|e [editor]
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700 |
1 |
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|a Toyoda, Masashi
|e [editor]
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700 |
1 |
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|a Zhang, Dongxiang
|e [editor]
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
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989 |
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|b Springer
|a Springer eBooks 2005-
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490 |
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|a Information Systems and Applications, incl. Internet/Web, and HCI
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028 |
5 |
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|a 10.1007/978-3-030-26075-0
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856 |
4 |
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|u https://doi.org/10.1007/978-3-030-26075-0?nosfx=y
|x Verlag
|3 Volltext
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|a 025.04
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|a 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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