Web and Big Data

First International Joint Conference, APWeb-WAIM 2017, Beijing, China, July 7–9, 2017, Proceedings, Part I

Nonfiction, Computers, Database Management, Information Storage & Retrievel, Advanced Computing, Information Technology, General Computing
Cover of the book Web and Big Data by , Springer International Publishing
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Author: ISBN: 9783319635798
Publisher: Springer International Publishing Publication: August 1, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319635798
Publisher: Springer International Publishing
Publication: August 1, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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