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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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發(fā)表于 2025-3-21 16:19:19 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Web Engineering
副標題17th International C
編輯Jordi Cabot,Roberto De Virgilio,Riccardo Torlone
視頻videohttp://file.papertrans.cn/1022/1021502/1021502.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面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
關鍵詞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

書目名稱Web Engineering影響因子(影響力)




書目名稱Web Engineering影響因子(影響力)學科排名




書目名稱Web Engineering網(wǎng)絡公開度




書目名稱Web Engineering網(wǎng)絡公開度學科排名




書目名稱Web Engineering被引頻次




書目名稱Web Engineering被引頻次學科排名




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書目名稱Web Engineering年度引用學科排名




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書目名稱Web Engineering讀者反饋學科排名




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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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