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检索条件"机构=Knowledge and Data Engineering Laboratory"
1044 条 记 录,以下是231-240 订阅
排序:
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
来源: 评论
Discovering Reliable Information Extraction Patterns with Pre-Trained Model for Text with Writing Style
Discovering Reliable Information Extraction Patterns with Pr...
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2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023
作者: Bu, Chenyang Liu, Jiacheng Liu, Jiaxuan Ji, Shengwei Yang, Hongbin School of Computer Science and Information Engineering Ministry of Education Key Laboratory of Knowledge Engineering with Big Data Hefei University of Technology Anhui Hefei230027 China School of Artificial Intelligence and Big Data Hefei University China
Large-scale pre-trained models such as GPT and BERT have demonstrated remarkable performance in information extraction tasks. However, their black-box nature poses challenges for reliability and interpretability. In c... 详细信息
来源: 评论
Inductive Relation Prediction with Logical Reasoning Using Contrastive Representations
Inductive Relation Prediction with Logical Reasoning Using C...
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2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022
作者: Pan, Yudai Liu, Jun Zhang, Lingling Zhao, Tianzhe Lin, Qika Hu, Xin Wang, Qianying School of Computer Science and Technology Xi'an Jiaotong University China National Engineering Lab for Big Data Analytics China Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering China Lenovo Research Beijing China
Relation prediction in knowledge graphs (KGs) aims at predicting missing relations in incomplete triples, whereas the dominant embedding paradigm has a restriction on handling unseen entities during testing. In the re... 详细信息
来源: 评论
A neural network based forecasting method for the unemployment rate prediction using the search engine query data
A neural network based forecasting method for the unemployme...
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2011 8th IEEE International Conference on e-Business engineering, ICEBE 2011
作者: Xu, Wei Zheng, Tingting Li, Ziang 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
Unemployment rate prediction has become critically important, because it can help government to make decision and design policies. In recent years, forecast of unemployment rate attracts much attention from government... 详细信息
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Optimizing queries with expensive video predicates based on estimation of attribute cardinality
Optimizing queries with expensive video predicates based on ...
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International Conference on Multimedia Information Networking and Security
作者: Yu, Lisheng Zhang, Jianmei Wang, Shan Key Laboratory of 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
With rapid advances in video processing technologies, video data increased rapidly and becomes popular in our daily life for both professional and consumer applications, e.g., surveillance, education, entertainment. S... 详细信息
来源: 评论
Random rough subspace based neural network ensemble for insurance fraud detection
Random rough subspace based neural network ensemble for insu...
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International Workshop on Computational Transportation Science
作者: Xu, Wei Wang, Shengnan Zhang, Dailing Yang, Bo Key Laboratory of Data Engineering and Knowledge Engineering School of Information Renmin University of China Beijing 100872 China School of Information Renmin University of China Beijing 100872 China
In this paper, a random rough subspace based neural network ensemble method is proposed for insurance fraud detection. In this method, rough set reduction is firstly employed to generate a set of reductions which can ... 详细信息
来源: 评论
Short Text Topic Modeling Techniques, Applications, and Performance: A Survey
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IEEE Transactions on knowledge and data engineering 2022年 第3期34卷 1427-1445页
作者: Qiang, Jipeng Qian, Zhenyu Li, Yun Yuan, Yunhao Wu, Xindong Department of Computer Science Yangzhou University Jiangsu225009 China Key Laboratory of Knowledge Engineering with Big Data Ministry of Education Hefei University of Technology Hefei Anhui230026 China Mininglamp Academy of Sciences Minininglamp Beijing China
Analyzing short texts infers discriminative and coherent latent topics that is a critical and fundamental task since many real-world applications require semantic understanding of short texts. Traditional long text to... 详细信息
来源: 评论
Random analysis of statistical rough set
Random analysis of statistical rough set
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2016 International Conference on Machine Learning and Cybernetics, ICMLC 2016
作者: Tsang, Eric C.C. Zhao, Su-Yun Faculty of Information Technology Macau University of Science and Technology C-Macau China Key Laboratory of Data Engineering and Knowledge Engineering MOE Renmin University of China Beijing China
Attribute reduction is an inevitable problem in machine learning and statistical learning. To improve the traditional rough set reduction, statistical rough sets is then proposed by introducing random sampling into th... 详细信息
来源: 评论
Detecting spam comments with malicious users'behavioral characteristics
Detecting spam comments with malicious users'behavioral char...
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2010 IEEE International Conference on Information Theory and Information Security, ICITIS 2010
作者: Wang, Qianqian Liang, Bin Shi, Wenchang Liang, Zhaohui Sun, Wei Key Laboratory of Data Engineering and Knowledge Engineering School of Information Renmin University of China Beijing China Beijing Venustech Cybervision Co. Ltd Beijing 100094 China
In recent years, the spread of spam comments has become a main obstacle which limits the development of commercialized social networks. This paper analyzes the differences of behavioral characteristics between normal ... 详细信息
来源: 评论
Measuring semantic association in domain ontology
Measuring semantic association in domain ontology
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3rd International Conference on Semantics, knowledge, and Grid, SKG 2007
作者: Tian, Xuan Li, HaiHua Du, Xiaoyong School of Information Renmin University of China Beijing 100872 China School of Information Renmin University of China Key Laboratory of Data Engineering and Knowledge Engineering Beijing 100872 China
In domain ontology, Semantic Association(SA) is used to depict the correlation between two concepts. In this paper, we define Semantic Association Degree(SAD) for measuring SA in the domain ontology. We first present ... 详细信息
来源: 评论