Web and Big Data: First International Joint Conference, APWeb-WAIM 2017, Beijing, China, July 7–9, 2017, Proceedings, Part II
Author:   Lei Chen ,  Christian S. Jensen ,  Cyrus Shahabi ,  Xiaochun Yang
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2017
Volume:   10367
ISBN:  

9783319635637


Pages:   362
Publication Date:   03 August 2017
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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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.

Full Product Details

Author:   Lei Chen ,  Christian S. Jensen ,  Cyrus Shahabi ,  Xiaochun Yang
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2017
Volume:   10367
Weight:   5.796kg
ISBN:  

9783319635637


ISBN 10:   3319635638
Pages:   362
Publication Date:   03 August 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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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