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检索条件"机构=Key Laboratories of Data Engineering and Knowledge Engineering"
1117 条 记 录,以下是111-120 订阅
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Evolving sequential patterns mining model over click stream with Levenshtein-Automata
Evolving sequential patterns mining model over click stream ...
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3rd International Conference on Innovative Computing Information and Control, ICICIC'08
作者: Li, Haifeng Chen, Hong Key Laboratory of Data Engineering and Knowledge Engineering School of Information Renmin University of China Beijing 100872 China
Sequential pattern mining is an important problem in continuous, fast, dynamic and unlimited stream mining. Recently approximate mining algorithms are proposed which spend too many system resources and can only obtain... 详细信息
来源: 评论
A Review-Based Reputation Evaluation Approach for Web Services
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Journal of Computer Science & Technology 2009年 第5期24卷 893-900页
作者: 李海华 杜小勇 Member 田萱 Key Laboratory of Data Engineering and Knowledge Engineering (Renmin University of China) MOE Beijing 100872 China School of Information Renmin University of China Beijing 100872 China School of Information Science & Technology Beijing Forestry University Beijing 100083 China
Web services are commonly perceived as an environment of both offering opportunities and threats. In this environment, one way to minimize threats is to use reputation evaluation, which can be computed, for example, t... 详细信息
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Preventing Recommendation Attack in Trust-Based Recommender Systems
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Journal of Computer Science & Technology 2011年 第5期26卷 823-828页
作者: 张富国 School of Information and Technology Jiangxi University of Finance and Economics Institute of Information Resource Management Jiangxi University of Finance and Economics Jiangxi Key Laboratory of Data and Knowledge Engineering Jiangxi University of Finance and Economics
Despite its success,similarity-based collaborative filtering suffers from some limitations,such as scalability,sparsity and recommendation *** work has shown incorporating trust mechanism into traditional collaborativ... 详细信息
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Representation learning: serial-autoencoder for personalized recommendation
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Frontiers of Computer Science 2024年 第4期18卷 61-72页
作者: Yi ZHU Yishuai GENG Yun LI Jipeng QIANG Xindong WU School of Information Engineering Yangzhou UniversityYangzhou 225127China Key Laboratory of Knowledge Engineering with Big Data(Ministry of Education of the People’s Republic of China) Hefei University of TechnologyHefei 230009China School of Computer Science and Information Engineering Hefei University of TechnologyHefei 230009China
Nowadays,the personalized recommendation has become a research hotspot for addressing information *** this,generating effective recommendations from sparse data remains a ***,auxiliary information has been widely used... 详细信息
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A Timeline-Based Algorithm for Personalized Tag Recommendation
A Timeline-Based Algorithm for Personalized Tag Recommendati...
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11th International Conference on Web Information Systems engineering
作者: Yu, Zhaohui Wang, Puwei Du, Xiaoyong Cui, Jianwei Xu, Tianren Key Labs. of Data Engineering and Knowledge Engineering Ministry of Education China School of Information Renmin University of China Beijing 100872 China
Recently, tagging has been a flexible and important way to share and categorize web resources, these user-generated tags are effective to represent user interests because these tags reflect human being's judgments... 详细信息
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Lawyer information integration and recommendation by multi-source information validation
Lawyer information integration and recommendation by multi-s...
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2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011
作者: Liu, Tao Fan, Biao Hu, He Du, Xiao-Yong Key Laboratory of Data Engineering and Knowledge Engineering MOE School of Information Renmin University of China Beijing 100872 China
On the internet, all-round lawyer information is located at separated information sources, which prevent web users from effective information acquisition. In order to build a unified view of separated, heterogeneous, ... 详细信息
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In-memory join algorithms on GPUs for large-data  21
In-memory join algorithms on GPUs for large-data
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21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on data Science and Systems, HPCC/SmartCity/DSS 2019
作者: Guo, Chengxin Chen, Hong Key Lab of Data Engineering and Knowledge Engineering of Ministry of Education School of Information Renmin University of China Beijing China
In traditional databases, join is one of the most computationally expensive operations in query processing. During the past years, GPU has been adopted to improve the performance of join processing because of the feat... 详细信息
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An Adaptive Method for the Efficient Similarity Calculation
An Adaptive Method for the Efficient Similarity Calculation
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14th International Conference on database Systems for Advanced Applications
作者: Cai, Yuanzhe Liu, Hongyan He, Jun Du, Xiaoyong Jia, Xu Key Labs of Data Engineering and Knowledge Engineering MOE China School of Information Renmin University of China China Department of Management Science and Engineering Tsinghua University China
SimRank is a well-known algorithm for similarity calculation based on object-to-object relationship. However, it suffers from high computation cost. Inthis paper, we find that the convergence behavior of different obj... 详细信息
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Improving performance by creating a native join-index for OLAP
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Frontiers of Computer Science 2011年 第2期5卷 236-249页
作者: Yansong ZHANG Shan WANG Jiaheng LU National Survey Research Center at Renmin University of China Beijing 100872 China Key Laboratory of the Ministry of Education for Data Engineering and Knowledge Engineering Renmin University of China Beijing 100872 China School of Information Renmin University of China Beijing 100872 China
The performance of online analytical processing (OLAP) is critical for meeting the increasing requirements of massive volume analytical applications. Typical techniques, such as in-memory processing, column-storage,... 详细信息
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Parallel hybrid join algorithm on GPU  21
Parallel hybrid join algorithm on GPU
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21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on data Science and Systems, HPCC/SmartCity/DSS 2019
作者: Guo, Chengxin Chen, Hong Zhang, Feng Li, Cuiping Key Lab of Data Engineering and Knowledge Engineering Ministry of Education School of Information Renmin University of China Beijing China
In data analytics applications, join is a general and time consuming operation. Optimizing join algorithms can benefit the query processing significantly. The emerging of GPUs provides a massive parallelism solution f... 详细信息
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