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Titlebook: Advances in Web-Age Information Management; 7th International Co Jeffrey Xu Yu,Masaru Kitsuregawa,Hong Va Leong Conference proceedings 2006

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发表于 2025-3-21 17:47:24 | 显示全部楼层 |阅读模式
期刊全称Advances in Web-Age Information Management
期刊简称7th International Co
影响因子2023Jeffrey Xu Yu,Masaru Kitsuregawa,Hong Va Leong
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Advances in Web-Age Information Management; 7th International Co Jeffrey Xu Yu,Masaru Kitsuregawa,Hong Va Leong Conference proceedings 2006
Pindex Conference proceedings 2006
The information of publication is updating

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




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




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




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




书目名称Advances in Web-Age Information Management被引频次




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




书目名称Advances in Web-Age Information Management年度引用




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




书目名称Advances in Web-Age Information Management读者反馈




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




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An Efficient Indexing Scheme for Moving Objects’ Trajectories on Road Networksroad networks. In this paper, we propose an efficient indexing scheme for moving objects’ trajectories on road networks. For this, we design a signature-based indexing scheme for efficiently dealing with the trajectories of current moving objects as well as for maintaining those of past moving objec
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Keyword Extraction Using Support Vector Machine the ‘meaning’ of the document. Keywords are of benefit to many text mining applications. However, a large number of documents do not have keywords and thus it is necessary to assign keywords before enjoying the benefit from it. Several research efforts have been done on keyword extraction. These me
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Succinct and Informative Cluster Descriptions for Document Repositoriesizing, and paid little attention to producing cluster labels. Without informative labels, users need to browse many documents to get a sense of what the clusters contain. Human labeling of clusters is not viable when clustering is performed on demand or for very few users. It is desirable to automat
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