Web and big data : first International Joint Conference, APWeb-WAIM 2017, Beijing, China, July 7-9, 2017, Proceedings. Part II /

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Bibliographic Details
Meeting name:APWeb-WAIM (Conference) (1st : 2017 : Beijing, China)
Imprint:Cham, Switzerland : Springer, 2017.
Description:1 online resource (xxi, 362 pages) : illustrations
Language:English
Series:Lecture notes in computer science, 0302-9743 ; 10367
LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI
Lecture notes in computer science ; 10367.
LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11349904
Hidden Bibliographic Details
Varying Form of Title:APWeb-WAIM 2017
Other authors / contributors:Chen, Lei, editor.
Jensen, Christian S., 1963- editor.
Shahabi, Cyrus, editor.
Yang, Xiaochun, editor.
Lian, Xiang (Computer scientist), editor.
ISBN:9783319635644
3319635646
3319635638
9783319635637
9783319635651
3319635654
9783319635637
Digital file characteristics:text file PDF
Notes:International conference proceedings.
Includes author index.
Online resource; title from PDF title page (SpringerLink, viewed August 10, 2017).
Summary:This two -volume set, LNCS 10366 and 10367, constitutes the thoroughly refereed proceedings of the First International Joint Conference, APWeb-WAIM 2017, held in Beijing, China in July 2017. The 44 full papers presented together with 32 short papers and 10 demonstrations papers were carefully reviewed and selected from 240 submissions. The papers are organized around the following topics: spatial data processing and data quality; graph data processing; data mining, privacy and semantic analysis; text and log data management; social networks; data mining and data streams; query processing; topic modeling; machine learning; recommendation systems; distributed data processing and applications; machine learning and optimization.
Other form:Printed edition: 9783319635637
Standard no.:10.1007/978-3-319-63564-4

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