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Titlebook: Web Technologies and Applications; 18th Asia-Pacific We Feifei Li,Kyuseok Shim,Guanfeng Liu Conference proceedings 2016 Springer Internatio

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發(fā)表于 2025-3-21 17:18:40 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Web Technologies and Applications
副標(biāo)題18th Asia-Pacific We
編輯Feifei Li,Kyuseok Shim,Guanfeng Liu
視頻videohttp://file.papertrans.cn/1022/1021643/1021643.mp4
概述Includes supplementary material:
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Web Technologies and Applications; 18th Asia-Pacific We Feifei Li,Kyuseok Shim,Guanfeng Liu Conference proceedings 2016 Springer Internatio
描述This LNCS double volume LNCS 9931-9932 constitutes the refereed proceedings of the 18th Asia-PacificConference APWeb 2016 held in Suzhou, China, in September 2016..The 79 full papers and presented together with 24 short papersand 17 demo papers were carefully reviewed and selectedfrom 215 submissions..the focus of the conference was on following subjects:?.Spatio-temporal, Textual and Multimedia Data Management.Social Media Data Analysis.Modelling and Learning with Big Data.Streaming and Real-time Data Analysis.Recommendation System.Data Quality and Privacy.Query Optimization and Scalable Data Processing.
出版日期Conference proceedings 2016
關(guān)鍵詞deep Web; grid computing; semantic Web; spatio-temporal databases; Web ontology
版次1
doihttps://doi.org/10.1007/978-3-319-45814-4
isbn_softcover978-3-319-45813-7
isbn_ebook978-3-319-45814-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

書(shū)目名稱(chēng)Web Technologies and Applications影響因子(影響力)




書(shū)目名稱(chēng)Web Technologies and Applications影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Web Technologies and Applications網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Web Technologies and Applications網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Web Technologies and Applications被引頻次




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Discovering Companion Vehicles from Live Streaming Traffic Dataons. We also use pseudo projection technique to improve the performance of our algorithm. Finally, extensive experiments are done using a real dataset to show efficiency and effectiveness of our approach.
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An Online Approach for Direction-Based Trajectory Compression with Error Bound Guarantee, which are two most popular algorithms for trajectory compression. To further improve the online computational efficiency, we propose a faster approximate algorithm with error bound guarantee named .. Experimental results demonstrate it can achieve low running time to suit the most constrained computation environments.
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Top-, Temporal Keyword Query over Social Media Dataation sketch are proposed as refinements. Extensive empirical studies on a reallife dataset show the combination of two refinements achieves remarkable performance improvement under different query settings.
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Top-, Temporal Keyword Query over Social Media Dataation sketch are proposed as refinements. Extensive empirical studies on a reallife dataset show the combination of two refinements achieves remarkable performance improvement under different query settings.
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