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Web and Big Data [electronic resource] : 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.

Contributor(s): U, Leong Hou [editor.] | Xie, Haoran [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Information Systems and Applications, incl. Internet/Web, and HCI: 11268Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: XIII, 394 p. 144 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030012984.Subject(s): Information storage and retrieval systems | Data mining | Application software | Artificial intelligence | Natural language processing (Computer science) | Computers, Special purpose | Information Storage and Retrieval | Data Mining and Knowledge Discovery | Computer and Information Systems Applications | Artificial Intelligence | Natural Language Processing (NLP) | Special Purpose and Application-Based SystemsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 025.04 Online resources: Click here to access online
Contents:
Mobile web data analytics -- Big data analytics for healthcare -- Knowledge graph management and analysis -- Data management and mining on MOOCs -- Data science. .
In: Springer Nature eBookSummary: 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.
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Mobile web data analytics -- Big data analytics for healthcare -- Knowledge graph management and analysis -- Data management and mining on MOOCs -- Data science. .

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.

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