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Titolo: |
Web and Big Data [[electronic resource] ] : APWeb-WAIM 2017 International Workshops: MWDA, HotSpatial, GDMA, DDC, SDMA, MASS, Beijing, China, July 7-9, 2017, Revised Selected Papers / / edited by Shaoxu Song, Matthias Renz, Yang-Sae Moon
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Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Edizione: | 1st ed. 2017. |
Descrizione fisica: | 1 online resource (XV, 268 p. 83 illus.) |
Disciplina: | 004.678 |
Soggetto topico: | Information storage and retrieval |
Application software | |
Data mining | |
Database management | |
Artificial intelligence | |
Computer communication systems | |
Information Storage and Retrieval | |
Information Systems Applications (incl. Internet) | |
Data Mining and Knowledge Discovery | |
Database Management | |
Artificial Intelligence | |
Computer Communication Networks | |
Persona (resp. second.): | SongShaoxu |
RenzMatthias | |
MoonYang-Sae | |
Nota di contenuto: | Mobile web data analytics -- Big spatial data and urban computing -- Graph data management and analytics -- Mobility analytics from spatial and social data. |
Sommario/riassunto: | This book constitutes the thoroughly refereed post-conference proceedings of the First APWeb-WAIM 2017 Workshops, held jointly with the First International Joint Conference APWeb-WAIM 2017, held in Beijing, China, in July 2017. The 25 full papers presented were carefully reviewed and selected from 40 submissions. The papers originating from six workshops present cutting-edge ideas, results, experiences, techniques, and tools from all aspects of web data management with the focus on mobile web data analytics; big spatial data and urban computing; graph data management and analytics; mobility analytics from spatial and social data. |
Titolo autorizzato: | Web and Big Data ![]() |
ISBN: | 3-319-69781-1 |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 996466469003316 |
Lo trovi qui: | Univ. di Salerno |
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