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检索条件"机构=Laboratory of Data Engineering and Knowledge Engineering"
1024 条 记 录,以下是781-790 订阅
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FindCredPg: A novel method to find credible pages based on trust web graph
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14th Asia Pacific Web Technology Conference, APWeb 2012
作者: Wang, Teng Zhu, Qing Wang, Shan Liang, Jingfan Key Laboratory of the Ministry of Education for Data Engineering and Knowledge Engineering Renmin University of China Beijing China School of Information Renmin University of China Beijing China
Finding credible pages is a challenging problem on the Web. Our key observation in this paper is that credible pages usually link to credible content-related pages, which is different from a normal page usually links ... 详细信息
来源: 评论
Summarizing large-scale database schema using community detection
Summarizing large-scale database schema using community dete...
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作者: Wang, Xue Zhou, Xuan Wang, Shan School of Information Renmin University of China Beijing 100872 China Key Laboratory of Data Engineering and Knowledge Engineering Renmin University of China Beijing 100872 China
Schema summarization on large-scale databases is a challenge. In a typical large database schema, a great proportion of the tables are closely connected through a few high degree tables. It is thus dificult to separat... 详细信息
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Efficient SPARQL query processing in mapreduce through data partitioning and indexing
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14th Asia Pacific Web Technology Conference, APWeb 2012
作者: Nie, Zhi Du, Fang Chen, Yueguo Du, Xiaoyong Xu, Linhao Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education China School of Information Renmin University of China Beijing China IBM Research China Beijing China
Processing SPARQL queries on single node is obviously not scalable, considering the rapid growth of RDF knowledge bases. This calls for scalable solutions of SPARQL query processing over Web-scale RDF data. There have... 详细信息
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Improve top-K recommendation by extending review analysis
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14th Asia Pacific Web Technology Conference, APWeb 2012
作者: Zhu, Qing Xing, Zhe Liang, Jingfan School of Information Renmin University of China Beijing 100872 China Key Laboratory for Data Engineering and Knowledge Engineering MOE Renmin University of China Beijing 100872 China
The Web has become the popular place for people to purchase product and acquire services, so collaborative filtering is one of the most important algorithms applied in e-commerce recommendation systems. Unfortunately,... 详细信息
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H-tree: A hybrid structure for confidence computation in probabilistic databases
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14th Asia Pacific Web Technology Conference, APWeb 2012
作者: Zhang, Qian Qin, Biao Wang, Shan Key Laboratory of Data Engineering and Knowledge Engineering Renmin University of China Ministry of Education Beijing 100872 China School of Information Renmin University of China Beijing 100872 China
Probabilistic database has become a popular tool for uncertain data management. Most work in the area is focused on efficient query processing and has two main directions, accurate or approximate evaluation. In recent... 详细信息
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Location selection for utility maximization with capacity constraints  12
Location selection for utility maximization with capacity co...
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21st ACM International Conference on Information and knowledge Management, CIKM 2012
作者: Sun, Yu Huang, Jin Chen, Yueguo Zhang, Rui Du, Xiaoyong School of Information Renmin University of China Beijing China University of Melbourne Melbourne VIC Australia Key Laboratory of Data Engineering and Knowledge Engineering Renmin University of China MOE China
Given a set of client locations, a set of facility locations where each facility has a service capacity, and the assumptions that: (i) a client seeks service from its nearest facility;(ii) a facility provides service ... 详细信息
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Fuzzy Rough Based Decision Tree Constructing
Fuzzy Rough Based Decision Tree Constructing
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第十二届中国Rough集与软计算学术会议、第六届中国Web智能学术研讨会及第六届中国粒计算学术研讨会联合学术会议
作者: CHEN Wei ZHAO Su-yun CHEN Hong LI Cui-ping Key Laboratory of Data Engineering and Knowledge Engineering Renmin University of ChinaMOE Beijin Key Laboratory of Data Engineering and Knowledge Engineering Renmin University of ChinaMOE Beijin
Decision tree and fuzzy rough set are two distinct but complementary *** tree is a simple and easy-understandable rule-based classifier,whereas the tool of fuzzy rough sets are effective on attribute and sample *** is... 详细信息
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A Comparative Analysis of knowledge Management Methods in the Three knowledge Management Standards
A Comparative Analysis of Knowledge Management Methods in th...
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2012年管理与服务科学国际会议(MASS 2012)
作者: Shaotong Xu Xiaomi An Key Laboratory of Data Engineering and Knowledge Engineering(Renmin University of China) MOE
This paper aims to identify knowledge management (KM) methods that have been used in three KM Standards, i.e. KM Standards of Britain, European Union(EU) and Australia, with comparative analysis of three KM issues cov... 详细信息
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Research on XML element search results clustering
Research on XML element search results clustering
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6th International Conference on Management of e-Commerce and e-Government, ICMeCG 2012
作者: Zhong, Min-Juan Wan, Chang-Xuan Liu, De-Xi Jiao, Xian-Pei School of Information Technology Jiangxi University of Finance and Economics Nanchang China Jiangxi Key Laboratory of Data and Knowledge Engineering Jiangxi University of Finance and Economics Nanchang China
Clustering XML search results is an effective way to improve performance. However, the key problem is how to measure similarity between XML documents. This paper studies XML search results clustering based on element ... 详细信息
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EFFICIENT COMPUTATIONS OF LINK-BASED SIMILARITY MEASURES ON THE GPU
EFFICIENT COMPUTATIONS OF LINK-BASED SIMILARITY MEASURES ON ...
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2012 3rd IEEE International Conference on Network Infrastructure and Digital Content
作者: Yong-Yeon Jo Duck-Ho Bae Sang-Wook Kim Data and Knowledge Engineering Laboratory Hanyang University SeoulKorea
In this paper,we first analyze how the characteristics of the GPU affect the performance of link-based similarity *** on the analysis,we describe our strategies to improve the performance of link-based similarity meas... 详细信息
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