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Web Technologies and Applications : APWeb 2016 Workshops, WDMA, GAP, and SDMA, Suzhou, China, September 23-25, 2016, Proceedings - 1st ed. 2016

By: (Edited by) Atsuyuki Morishima , (Edited by) Jia Zhu , (Edited by) Kuien Liu , (Edited by) Lijun Chang , (Edited by) Rong Zhang , (Edited by) Tom Z. J Fu , (Edited by) Wenjie Zhang , (Edited by) Xiaoyan Yang , (Edited by) Zhiwei Zhang

Extended Catalogue

Ksh 8,100.00

Format: Paperback / Softback

ISBN-10: 3319458345

ISBN-13: 9783319458342

Edition: 1st ed. 2016

Series: Lecture Notes in Computer Science

Publisher: Springer International Publishing AG

Imprint: Springer International Publishing AG

Country of Manufacture: CH

Country of Publication: GB

Publication Date: Sep 22nd, 2016

Print length: 324 Pages

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This book constitutes the refereed proceedings of three workshops held at the 18th Asia-Pacific Web Conference, APWeb 2016, in Suzhou, China, in September 2016: the Second International Workshop on Web Data Mining and Applications, WDMA 2016, the First International Workshop on Graph Analytics and Query Processing, GAP 2016, and the First International Workshop on Spatial-temporal Data Management and Analytics, SDMA 2016. The 27 full papers included in this book were carefully reviewed and selected from 37 submissions. The goal of these workshops is to promote the new research directions and applications, especially on web data, graph data, and spatial-temporal data management and analytics.  

This book constitutes the refereed proceedings of three workshops held at the 18th Asia-Pacific Web Conference, APWeb 2016, in Suzhou, China, in September 2016: the Second International Workshop on Web Data Mining and Applications, WDMA 2016, the First International Workshop on Graph Analytics and Query Processing, GAP 2016, and the First International Workshop on Spatial-temporal Data Management and Analytics, SDMA 2016.

The 27 full papers included in this book were carefully reviewed and selected from 37 submissions. The goal of these workshops is to promote the new research directions and applications, especially on web data, graph data, and spatial-temporal data management and analytics.

 


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