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检索条件"机构=Key Laboratories of Data Engineering and Knowledge Engineering"
1122 条 记 录,以下是1041-1050 订阅
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Chinese integral word segmentation recognition based on reliability
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Journal of Information and Computational Science 2009年 第1期6卷 533-542页
作者: Wan, Changxuan Wang, Fang School of Information Technology Jiangxi University of Finance and Economics Nanchang 330013 China Jiangxi Key Laboratory of Data and Knowledge Engineering Jiangxi University of Finance and Economics Nanchang 330013 China School of Humanities Nanchang University Nanchang 330013 China
As one part of preprocessing, automatic word segmentation is an key issue in Chinese information retrieval. Since integral words are put wholly together to compose into the more meaningful words and more express users... 详细信息
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Static vulnerabilities detection method based on security state tracing and checking
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Jisuanji Xuebao/Chinese Journal of Computers 2009年 第5期32卷 899-909页
作者: Liang, Bin Hou, Kan-Kan Shi, Wen-Chang Liang, Zhao-Hui School of Information Renming University of China Beijing 100872 China MOE Key Laboratory of Data Engineering and Knowledge Engineering Beijing 100872 China
The main problem of existing static vulnerability detection methods based source code analysis is their high false positive and false negative rates. One main reason is lack of accurate and effective identification an... 详细信息
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PEJA:Progressive Energy-Efficient Join Processing for Sensor Networks
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Journal of Computer Science & Technology 2008年 第6期23卷 957-972页
作者: 赖永炫 陈毅隆 陈红 School of Information Renmin University of China Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education
Sensor networks are widely used in many applications to collaboratively collect information from the physical environment. In these applications, the exploration of the relationship and linkage of sensing data within ... 详细信息
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VSM-RF: A method of relevance feedback in keyword Search over Relational databases
VSM-RF: A method of relevance feedback in Keyword Search ove...
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IEEE International Symposium on Information (IT) in Medicine and Education, ITME
作者: Zhao-hui Peng Jun Zhang Shan Wang Chang-liang Wang Li-zhen Cui School of Computer Science and Technology Shandong University Jinan 250101 China School of Computer Science and Technology Dalian Maritime University 116026 China Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education Beijing 100872 China The Hong Kong University of Science and Technology China
In keyword search over relational databases (KSORD), retrieval of user's initial query is often unsatisfying. User has to reformulate his query and execute the new query, which costs much time and effort. In this ... 详细信息
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Bring User Feedback into keyword Search over databases
Bring User Feedback into Keyword Search over Databases
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Web Information Systems and Applications Conference (WISA)
作者: Zhaohui Peng Jun Zhang Shan Wang Changliang Wang School of Computer Science & Technology Shandong University Jinan China Key Laboratory of Data Engineering & Knowledge Engineering Ministry of Education Beijing China School of Computer Science & Technology Dalian Maritime University Dalian China Hong Kong University of Science and Technology Hong Kong China
keyword search over relational databases (KSORD) enables casual users to use keyword queries (a set of keywords) to search relational databases just like searching the Web, without any knowledge of the database schema... 详细信息
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A new dynamic hash index for flash-based storage
A new dynamic hash index for flash-based storage
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9th International Conference on Web-Age Information Management, WAIM 2008
作者: Xiang, Li Zhou, Da Meng, Xiaofeng School of Information Renmin University of China Key Laboratory of Data Engineering and Knowledge Engineering MOE
Compared with traditional magnetic disks, Flash memory has many advantages and has been used as external storage media for a wide spectrum of electronic devices (such as PDA, MP3, Digital Camera and Mobile Phone) in r... 详细信息
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Moment+: Mining closed frequent itemsets over data stream
Moment+: Mining closed frequent itemsets over data stream
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4th International Conference on Advanced data Mining and Applications, ADMA 2008
作者: Li, Haifeng Chen, Hong Key Laboratory of Data Engineering and Knowledge Engineering School of Information Renmin University of China Beijing 100872 China
Closed frequent itemsets(CFI) mining uses less memory to store the entire information of frequent itemsets thus is much suitable for mining stream. In this paper, we discuss recent CFI mining methods over stream and p... 详细信息
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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
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基于Web Services的信息系统的实施研究
基于Web Services的信息系统的实施研究
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第15届海峡两岸信息管理发展与策略学术研讨会(2009)
作者: Zuo Meiyun 左美云 Wang Shijuan 王世娟 In formation School and Key Laboratory of Data Engineering and Knowledge Engineering MOE Renmin Univ 中国人民大学信息学院 数据工程与知识工程教育部重点实验室北京
基于Web Services的信息系统将会是今后信息系统建设的一种重要模式。论文在对23个实施基于WebServices的信息系统的二手资料分析的基础上,归纳了基于Web Services的信息系统的类型、实施策略和实施过程。
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S-SimRank: Combining Content and Link Information to Cluster Papers Effectively and Efficiently
S-SimRank: Combining Content and Link Information to Cluster...
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4th International Conference on Advanced data Mining and Applications
作者: Cai, Yuanzhe Li, Pei Liu, Hongyan He, Jun Du, Xiaoyong Key Labs of Data Engineering and Knowledge Engineering Ministry of Education China Department of Computer Science Renmin University of China China Department of Management Science and Engineering Tsinghua University China
Both Content analysis and link, analysis have its advantages in measuring relationships among documents. In this paper. we propose a new method to combine these two methods to compute the similarity of research papers... 详细信息
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