Web and Big Data: First International Joint Conference, APWeb-WAIM 2017, Beijing, China, July 7-9, 2017, Proceedings, Part II

Web and Big Data: First International Joint Conference, APWeb-WAIM 2017, Beijing, China, July 7-9, 2017, Proceedings, Part II

ISBN-10:
3319635638
ISBN-13:
9783319635637
Pub. Date:
09/13/2017
Publisher:
Springer International Publishing
ISBN-10:
3319635638
ISBN-13:
9783319635637
Pub. Date:
09/13/2017
Publisher:
Springer International Publishing
Web and Big Data: First International Joint Conference, APWeb-WAIM 2017, Beijing, China, July 7-9, 2017, Proceedings, Part II

Web and Big Data: First International Joint Conference, APWeb-WAIM 2017, Beijing, China, July 7-9, 2017, Proceedings, Part II

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Overview

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.


Product Details

ISBN-13: 9783319635637
Publisher: Springer International Publishing
Publication date: 09/13/2017
Series: Lecture Notes in Computer Science , #10367
Edition description: 1st ed. 2017
Pages: 362
Product dimensions: 6.10(w) x 9.25(h) x (d)

Table of Contents

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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