咨询与建议

限定检索结果

文献类型

  • 391 篇 期刊文献
  • 222 篇 会议
  • 1 册 图书

馆藏范围

  • 614 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 411 篇 工学
    • 261 篇 计算机科学与技术...
    • 218 篇 软件工程
    • 78 篇 信息与通信工程
    • 51 篇 电气工程
    • 45 篇 化学工程与技术
    • 38 篇 控制科学与工程
    • 34 篇 生物工程
    • 30 篇 材料科学与工程(可...
    • 26 篇 电子科学与技术(可...
    • 22 篇 机械工程
    • 17 篇 仪器科学与技术
    • 17 篇 航空宇航科学与技...
    • 16 篇 动力工程及工程热...
    • 15 篇 生物医学工程(可授...
    • 11 篇 建筑学
    • 11 篇 水利工程
    • 10 篇 光学工程
  • 216 篇 理学
    • 98 篇 数学
    • 53 篇 生物学
    • 39 篇 化学
    • 38 篇 物理学
    • 33 篇 统计学(可授理学、...
    • 12 篇 系统科学
  • 114 篇 管理学
    • 72 篇 管理科学与工程(可...
    • 54 篇 图书情报与档案管...
    • 26 篇 工商管理
  • 26 篇 医学
    • 19 篇 临床医学
    • 10 篇 基础医学(可授医学...
    • 10 篇 药学(可授医学、理...
  • 15 篇 农学
  • 12 篇 法学
    • 11 篇 社会学
  • 7 篇 经济学
  • 2 篇 文学
  • 1 篇 军事学
  • 1 篇 艺术学

主题

  • 29 篇 semantics
  • 18 篇 knowledge engine...
  • 18 篇 data mining
  • 18 篇 training
  • 15 篇 conferences
  • 14 篇 feature extracti...
  • 11 篇 task analysis
  • 11 篇 big data
  • 11 篇 data models
  • 10 篇 visualization
  • 9 篇 deep learning
  • 9 篇 optimization
  • 9 篇 knowledge graph
  • 9 篇 computational mo...
  • 9 篇 predictive model...
  • 9 篇 multiobjective o...
  • 8 篇 databases
  • 8 篇 heuristic algori...
  • 7 篇 learning systems
  • 7 篇 knowledge manage...

机构

  • 87 篇 school of comput...
  • 67 篇 school of inform...
  • 32 篇 key laboratory o...
  • 31 篇 college of compu...
  • 26 篇 key laboratory o...
  • 25 篇 key laboratory o...
  • 23 篇 key laboratory o...
  • 23 篇 key laboratory o...
  • 18 篇 key laboratory o...
  • 14 篇 key laboratory o...
  • 14 篇 key laboratory o...
  • 12 篇 college of compu...
  • 12 篇 key laboratory o...
  • 12 篇 key laboratory o...
  • 10 篇 key laboratory o...
  • 10 篇 mininglamp acade...
  • 9 篇 key laboratory o...
  • 8 篇 school of inform...
  • 8 篇 shenzhen academy...
  • 7 篇 institute of blo...

作者

  • 32 篇 wu xindong
  • 28 篇 xindong wu
  • 27 篇 sun geng
  • 23 篇 niyato dusit
  • 23 篇 chen hong
  • 19 篇 li jiahui
  • 18 篇 li cuiping
  • 18 篇 wang yang
  • 18 篇 wang meng
  • 17 篇 wang jiacheng
  • 17 篇 zhang jing
  • 16 篇 hong chen
  • 16 篇 chenyang bu
  • 15 篇 xuegang hu
  • 13 篇 meng wang
  • 13 篇 zhao zhang
  • 13 篇 zan zhang
  • 12 篇 wang shan
  • 12 篇 gongqing wu
  • 11 篇 sun zemin

语言

  • 567 篇 英文
  • 31 篇 其他
  • 16 篇 中文
检索条件"机构=1. Key Laboratory of Data Engineering and Knowledge Engineering of the Ministry of Education"
614 条 记 录,以下是101-110 订阅
排序:
Hierarchical All-Pairs SimRank Calculation  28th
Hierarchical All-Pairs SimRank Calculation
收藏 引用
28th International Conference on database Systems for Advanced Applications, DASFAA 2023
作者: Zhang, Liangfu Li, Cuiping Zhang, Xue Chen, Hong Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education School of Information Renmin University of China Beijing China
All-pairs SimRank calculation is a classic SimRank problem. However, all-pairs algorithms suffer from efficiency issues and accuracy issues. In this paper, we convert the non-linear simrank calculation into a new simp... 详细信息
来源: 评论
Intelligent Fast Cell Association Scheme Based on Deep Q-Learning in Ultra-Dense Cellular Networks
收藏 引用
China Communications 2021年 第2期18卷 259-270页
作者: Jinhua Pan Lusheng Wang Hai Lin Zhiheng Zha Caihong Kai Key Laboratory of Knowledge Engineering with Big Data Ministry of Education.School of Computer Science and Information EngineeringHefei University of TechnologyHefei 230601China Anhui Province Key Laboratory of Industry Safety and Emergency Technology Hefei 230601China Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education.School of Cyber Science and EngineeringWuhan UniversityWuhan 430072China
To support dramatically increased traffic loads,communication networks become *** cell association(CA)schemes are timeconsuming,forcing researchers to seek fast *** paper proposes a deep Q-learning based scheme,whose ... 详细信息
来源: 评论
A new algorithm for fast mining frequent itemsets using N-lists
收藏 引用
Science China(Information Sciences) 2012年 第9期55卷 2008-2030页
作者: DENG ZhiHong ,WANG ZhongHui & JIANG JiaJian key {1. of Machine Perception(ministry of education),School of Electronics engineering and Computer Science,Peking University,Beijing 1.0871.China 1. Key Laboratory of Machine Perception (Ministry of Education) School of Electronics Engineering and Computer Science Peking University Beijing 100871 China
Mining frequent itemsets has emerged as a fundamental problem in data mining and plays an essential role in many important data mining *** this paper,we propose a novel vertical data representation called N-list,which... 详细信息
来源: 评论
Multi-view Feature Learning for the Over-penalty in Adversarial Domain Adaptation
收藏 引用
data Intelligence 2024年 第1期6卷 183-200页
作者: Yuhong Zhang Jianqing Wu Qi Zhang Xuegang Hu School of Computer and Information Engineering Hefei University of TechnologyHefei 230601China Key Laboratory of Knowledge Engineering with Big Data(Hefei University of Technology) The Ministry of Education of ChinaHefei 230009China
Domain adaptation aims to transfer knowledge from the labeled source domain to an unlabeled target domain that follows a similar but different ***,adversarial-based methods have achieved remarkable success due to the ... 详细信息
来源: 评论
Improving performance by creating a native join-index for OLAP
收藏 引用
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
来源: 评论
Fractal model for simulation of frost formation and growth
收藏 引用
Science China(Technological Sciences) 2010年 第3期53卷 807-812页
作者: LIU YaoMin,LIU ZhongLiang,HUANG LingYan&SUN JunFang education {1. key laboratory of Enhanced Heat Transfer and Energy Conservation,College of Environmental and Energy engineering,Beijing University of Technology,Beijing 1.01.4,China 1. Education Ministry Key Laboratory of Enhanced Heat Transfer and Energy Conservation College of Environmental and Energy Engineering Beijing University of Technology Beijing 100124 China
A planar fractal model for simulation of frost formation and growth was proposed based on diffusion limited aggregation(DLA)model and the computational simulation was carried out in this *** changing the times of prog... 详细信息
来源: 评论
Capability description and discovery of Internetware entity
收藏 引用
Science China(Information Sciences) 2010年 第4期53卷 685-703页
作者: WANG PuWei1., JIN Zhi2,3* & LIU HongYan4 1.0} {1. of data engineering and knowledge engineering of the ministry of education, Renmin University of China, Beijing 1.0872, China 2key {1. of High Confidence Software Technologies of the ministry of education, Peking University, Beijing 1.0871. China 3Academy of Mathematics and System Sciences, Chinese Academy of Sciences, Beijing 1.01.0, China 4Department of Management Science and engineering, Tsinghua University, Beijing 1.0084, China 1. Key Laboratory of Data Engineering and Knowledge Engineering of the Ministry of Education Renmin University of China Beijing 100872 China2. Key Laboratory of High Confidence Software Technologies of the Ministry of Education Peking University Beijing 100871 China3. Academy of Mathematics and System Sciences Chinese Academy of Sciences Beijing 100190 China4. Department of Management Science and Engineering Tsinghua University Beijing 100084 China
Internetware can be formed through aggregation of Internetware entities bottom-up to satisfy the user's requirements. In the process, capability description of Internetware entity plays an important role. This pap... 详细信息
来源: 评论
Effect of the cooling rate on plastic deformability of a Zr-based bulk metallic glass
收藏 引用
Science China(Physics,Mechanics & Astronomy) 2010年 第3期53卷 415-418页
作者: ZHANG Jing, PANG ShuJie & ZHANG Tao key {1. of Aerospace Materials and Performance (ministry of education), Department of Materials Science and engineering, Beijing University of Aeronautics and Astronautics, Beijing 1.01.1. China 1. Key Laboratory of Aerospace Materials and Performance (Ministry of Education) Department of Materials Science and Engineering Beijing University of Aeronautics and Astronautics Beijing 100191 China
The present work found the plastic deformability of Zr65Cu1..5Ni1.Al7.5 BMG dependent on the cooling rate during the formation from the molten state alloy. The deformation behavior in the compression test of φ 2 mm Z... 详细信息
来源: 评论
Diversifying Question Generation over knowledge Base via External Natural Questions  30
Diversifying Question Generation over Knowledge Base via Ext...
收藏 引用
Joint 30th International Conference on Computational Linguistics and 1.th International Conference on Language Resources and Evaluation, LREC-COLING 2024
作者: Guo, Shasha Zhang, Jing Ke, Xirui Li, Cuiping Chen, Hong School of Information Renmin University of China Beijing China Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education China
Previous methods on knowledge base question generation (KBQG) primarily focus on refining the quality of a single generated question. However, considering the remarkable paraphrasing ability of humans, we believe that... 详细信息
来源: 评论
DSM: Question Generation over knowledge Base via Modeling Diverse Subgraphs with Meta-learner
DSM: Question Generation over Knowledge Base via Modeling Di...
收藏 引用
2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022
作者: Guo, Shasha Zhang, Jing Wang, Yanling Zhang, Qianyi Li, Cuiping Chen, Hong School of Information Renmin University of China Beijing China Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education China
Existing methods on knowledge base question generation (KBQG) learn a one-size-fits-all model by training together all subgraphs without distinguishing the diverse semantics of subgraphs. In this work, we show that ma... 详细信息
来源: 评论