Web and big data : APWeb-WAIM 2018 International Workshops: MWDA, BAH, KGMA, DMMOOC, DS, Macau, China, July 23-25, 2018, Revised selected papers /

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Bibliographic Details
Meeting name:	APWeb-WAIM (Conference) (2nd : 2018 : Macau, China)
Imprint:	Cham, Switzerland : Springer, 2018.
Description:	1 online resource (xiii, 394 pages) : illustrations.
Language:	English
Series:	Lecture notes in computer science ; 11268 LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI Lecture notes in computer science ; 11268. LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.
Subject:	World Wide Web -- Congresses. Internet -- Congresses. Big data -- Congresses. Big data. Internet. World Wide Web. Electronic books. Conference papers and proceedings.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11718456

Hidden Bibliographic Details
Varying Form of Title:	APWeb-WAIM 2018
Other authors / contributors:	U, Leong Hou, editor. Xie, Haoran, editor. MWDA (Workshop) (2018 : Macau, China), jointly held conference. BAH (Workshop) (2018 : Macau, China), jointly held conference. KGMA (Workshop) (1st : 2018 : Macau, China), jointly held conference. DMMOOC (Workshop) (2018 : Macau, China), jointly held conference. DS (Workshop) (2018 : Macau, China), jointly held conference.
ISBN:	9783030012984 3030012980 9783030012977 3030012972 9783030012977 9783030012991 3030012999
Digital file characteristics:	text file PDF
Notes:	Includes author index. Online resource; title from PDF title page (SpringerLink, viewed October 24, 2018).
Summary:	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.
Other form:	Printed edition: 9783030012977 Printed edition: 9783030012991
Standard no.:	10.1007/978-3-030-01298-4

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