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Titlebook: Web Technologies and Applications; APWeb 2016 Workshops Atsuyuki Morishima,Rong Zhang,Zhiwei Zhang Conference proceedings 2016 Springer Int

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书目名称Web Technologies and Applications
副标题APWeb 2016 Workshops
编辑Atsuyuki Morishima,Rong Zhang,Zhiwei Zhang
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Web Technologies and Applications; APWeb 2016 Workshops Atsuyuki Morishima,Rong Zhang,Zhiwei Zhang Conference proceedings 2016 Springer Int
描述.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.. 
出版日期Conference proceedings 2016
关键词geospatial data; natural language processing; ontology; semantic processing; social networks; big graph p
版次1
doihttps://doi.org/10.1007/978-3-319-45835-9
isbn_softcover978-3-319-45834-2
isbn_ebook978-3-319-45835-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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Short-Term Forecasting and Application About Indoor Cooling Load Based on EDA-PSO-BP Algorithme used PSO optimization algorithm combined with BP neural network to do cooling load prediction experiments of indoor sample data of a building. The results showed that compared with other three kinds of prediction algorithms, the error of this algorithm is minimum and its running speed is the fastest.
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A Multi-Model Based Approach for Big Data Analytics: The Case on Education Grant Distribution to society. However, the study on the optimization of the investment proportion of education grant is rarely few, and there is even no further study on the integration of it in the field of big data analytics. According to it this article aims to use four different models to invest university selectively and determine an optimal investment ratio.
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