Web and Big Data : APWeb-WAIM 2018 International Workshops: MWDA, BAH, KGMA, DMMOOC, DS, Macau, China, July 23–25, 2018, Revised Selected Papers / / edited by Leong Hou U, Haoran Xie

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
• Edizione: 1st ed. 2018.
• Descrizione fisica: 1 online resource (XIII, 394 p. 144 illus.)
• Disciplina: 004.678
• Soggetto topico: Information storage and retrieval; Data mining; Application software; Artificial intelligence; Natural language processing (Computer science); Special purpose computers; Information Storage and Retrieval; Data Mining and Knowledge Discovery; Information Systems Applications (incl. Internet); Artificial Intelligence; Natural Language Processing (NLP); Special Purpose and Application-Based Systems
• Persona (resp. second.): ULeong Hou; XieHaoran
• Note generali: Includes index.
• Nota di contenuto: Mobile web data analytics -- Big data analytics for healthcare -- Knowledge graph management and analysis -- Data management and mining on MOOCs -- Data science. .
• Sommario/riassunto: This book constitutes the thoroughly refereed post-conference proceedings of the First APWeb-WAIM 2018 Workshops, held jointly with the Second International Joint Conference APWeb-WAIM 2018 in Macau, China, in July 2018. The 31 full papers presented were carefully reviewed and selected from 44 submissions. The papers originating from five 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; knowledge graph management and analysis; data management and mining on MOOCs; Big data analytics for healthcare; data science.
• Titolo autorizzato: Web and Big Data
• ISBN: 3-030-01298-0
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910349394503321
• Lo trovi qui: Univ. Federico II
• Serie: Information Systems and Applications, incl. Internet/Web, and HCI ; ; 11268