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Titlebook: Web-Age Information Management; 17th International C Bin Cui,Nan Zhang,Dexi Liu Conference proceedings 2016 Springer International Publishi

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发表于 2025-3-21 19:38:53 | 显示全部楼层 |阅读模式
书目名称Web-Age Information Management
副标题17th International C
编辑Bin Cui,Nan Zhang,Dexi Liu
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Web-Age Information Management; 17th International C Bin Cui,Nan Zhang,Dexi Liu Conference proceedings 2016 Springer International Publishi
描述.This two-volume set, LNCS 9658 and 9659, constitutes the thoroughly refereed proceedings of the 17th International Conference on Web-Age Information Management, WAIM 2016, held in Nanchang, China, in June 2016. .The 80 full research papers presented together with 8 demonstrations were carefully reviewed and selected from 266 submissions. The focus of the conference is on following topics: data mining, spatial and temporal databases, recommender systems, graph data management, information retrieval, privacy and trust, query processing and optimization, social media, big data analytics, and distributed and cloud computing.
出版日期Conference proceedings 2016
关键词cloud computing; distributed system; internet of things; semantic network; social network; active learnin
版次1
doihttps://doi.org/10.1007/978-3-319-39958-4
isbn_softcover978-3-319-39957-7
isbn_ebook978-3-319-39958-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

书目名称Web-Age Information Management影响因子(影响力)




书目名称Web-Age Information Management影响因子(影响力)学科排名




书目名称Web-Age Information Management网络公开度




书目名称Web-Age Information Management网络公开度学科排名




书目名称Web-Age Information Management被引频次




书目名称Web-Age Information Management被引频次学科排名




书目名称Web-Age Information Management年度引用




书目名称Web-Age Information Management年度引用学科排名




书目名称Web-Age Information Management读者反馈




书目名称Web-Age Information Management读者反馈学科排名




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A Hybrid Machine-Crowdsourcing Approach for Web Table Matching and Cleaningesults and machine-generated results. When resolving inconsistency between data and semantics, relative trust is taken into account to validate data or semantics via crowd. Our experimental results show the effectiveness of the proposed approach for matching and cleaning web tables using real-life datasets.
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A Hybrid Machine-Crowdsourcing Approach for Web Table Matching and Cleaningesults and machine-generated results. When resolving inconsistency between data and semantics, relative trust is taken into account to validate data or semantics via crowd. Our experimental results show the effectiveness of the proposed approach for matching and cleaning web tables using real-life datasets.
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An Update Method for Shortest Path Caching with Burst Paths Based on Sliding Windowsethods are based on sliding windows. Specially, the incremental update method quantifies burst paths and updates the cache incrementally. Comprehensive experiments show that our methods surpass current best algorithm SPC by more than 30 % in terms of hit ratio on real road network data with burst paths.
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An Update Method for Shortest Path Caching with Burst Paths Based on Sliding Windowsethods are based on sliding windows. Specially, the incremental update method quantifies burst paths and updates the cache incrementally. Comprehensive experiments show that our methods surpass current best algorithm SPC by more than 30 % in terms of hit ratio on real road network data with burst paths.
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0302-9743 national Conference on Web-Age Information Management, WAIM 2016, held in Nanchang, China, in June 2016. .The 80 full research papers presented together with 8 demonstrations were carefully reviewed and selected from 266 submissions. The focus of the conference is on following topics: data mining, s
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Efficient Approximate Substring Matching in Compressed Stringorithm to merge all the occurrences of substring efficiently to narrow down the potential region and design novel filterings to reduce the scale of candidates. The experiments show that our algorithm achieves outstanding performance and an interesting time-space trade-off in approximate matching for compressed string.
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