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Titlebook: Web Engineering; 17th International C Jordi Cabot,Roberto De Virgilio,Riccardo Torlone Conference proceedings 2017 Springer International P

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发表于 2025-3-21 16:19:19 | 显示全部楼层 |阅读模式
书目名称Web Engineering
副标题17th International C
编辑Jordi Cabot,Roberto De Virgilio,Riccardo Torlone
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Web Engineering; 17th International C Jordi Cabot,Roberto De Virgilio,Riccardo Torlone Conference proceedings 2017 Springer International P
描述This book constitutes the refereed proceedings of the 17th International Conference on Web Engineering, ICWE 2017, held in Rome, Italy, in June 2017..The 20 full research papers and 12 short papers presented together with 6 application papers, 6 demonstration papers, and 6 contributions to the PhD Symposium, were carefully reviewed and selected from 139 submissions. The papers cover research areas such as Web application modeling and engineering, human computation and crowdsourcing applications, Web applications composition and mashup, Social Web applications, Semantic Web applications, Web of Things applications, and big data..
出版日期Conference proceedings 2017
关键词applied computing; artificial intelligence; big data; crowdsourcing; data security; Human-Computer Intera
版次1
doihttps://doi.org/10.1007/978-3-319-60131-1
isbn_softcover978-3-319-60130-4
isbn_ebook978-3-319-60131-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

书目名称Web Engineering影响因子(影响力)




书目名称Web Engineering影响因子(影响力)学科排名




书目名称Web Engineering网络公开度




书目名称Web Engineering网络公开度学科排名




书目名称Web Engineering被引频次




书目名称Web Engineering被引频次学科排名




书目名称Web Engineering年度引用




书目名称Web Engineering年度引用学科排名




书目名称Web Engineering读者反馈




书目名称Web Engineering读者反馈学科排名




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A Big Data Analysis Framework for Model-Based Web User Behavior Analyticsution and user activities, integration with page content details, generation of integrated schema-less data streams, and application of large-scale analytics and visualization tools for big data, by applying both traditional data visualization techniques and direct representation of statistics on visual models of the Web application.
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Twisting Web Pages for Saving Energy service brings a 4.6% cumulative processor energy reduction, while . transcoding service, brings a 7% cumulative processor energy reduction. These savings equate to between a 40 to 60 min saving depending on the mobile device.
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Ontology-Enhanced Aspect-Based Sentiment Analysisoth aspect detection and aspect sentiment analysis. For aspect detection, the ontology-enhanced method needs only 20% of the training data to achieve results comparable with a standard bag-of-words approach that uses all training data.
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