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

• 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.: 9910484508803321
• Lo trovi qui: Univ. Federico II
• Serie: Information Systems and Applications, incl. Internet/Web, and HCI ; ; 10612