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Web and Big Data : 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



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Titolo: Web and Big Data : 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 Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Edizione: 1st ed. 2019.
Descrizione fisica: 1 online resource (XIX, 431 p. 157 illus., 115 illus. in color.)
Disciplina: 006.3
025.04
Soggetto topico: Information storage and retrieval systems
Artificial intelligence
Application software
Pattern recognition
Optical data processing
Information Storage and Retrieval
Artificial Intelligence
Computer Appl. in Social and Behavioral Sciences
Pattern Recognition
Image Processing and Computer Vision
Persona (resp. second.): ShaoJie
YiuMan Lung
ToyodaMasashi
ZhangDongxiang
WangWei
CuiBin
Nota di contenuto: 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. .
Sommario/riassunto: 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.
Titolo autorizzato: Web and Big Data  Visualizza cluster
ISBN: 3-030-26075-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910349309203321
Lo trovi qui: Univ. Federico II
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Serie: Information Systems and Applications, incl. Internet/Web, and HCI ; ; 11642