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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
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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 ![]() |
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 |
Opac: | Controlla la disponibilità qui |