咨询与建议

限定检索结果

文献类型

  • 1,282 篇 会议
  • 787 篇 期刊文献
  • 1 册 图书

馆藏范围

  • 2,070 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1,350 篇 工学
    • 1,116 篇 计算机科学与技术...
    • 944 篇 软件工程
    • 255 篇 信息与通信工程
    • 142 篇 生物工程
    • 118 篇 控制科学与工程
    • 98 篇 电气工程
    • 76 篇 生物医学工程(可授...
    • 73 篇 建筑学
    • 67 篇 电子科学与技术(可...
    • 60 篇 土木工程
    • 57 篇 机械工程
    • 56 篇 化学工程与技术
    • 55 篇 光学工程
    • 33 篇 动力工程及工程热...
    • 31 篇 仪器科学与技术
    • 26 篇 交通运输工程
  • 612 篇 理学
    • 368 篇 数学
    • 148 篇 生物学
    • 130 篇 统计学(可授理学、...
    • 115 篇 物理学
    • 70 篇 系统科学
    • 60 篇 化学
  • 559 篇 管理学
    • 366 篇 图书情报与档案管...
    • 230 篇 管理科学与工程(可...
    • 87 篇 工商管理
  • 79 篇 医学
    • 72 篇 临床医学
    • 55 篇 基础医学(可授医学...
    • 42 篇 药学(可授医学、理...
  • 67 篇 法学
    • 61 篇 社会学
  • 27 篇 经济学
    • 27 篇 应用经济学
  • 24 篇 教育学
  • 15 篇 农学
  • 8 篇 文学
  • 2 篇 军事学
  • 1 篇 哲学
  • 1 篇 历史学
  • 1 篇 艺术学

主题

  • 96 篇 semantics
  • 92 篇 data mining
  • 79 篇 knowledge engine...
  • 61 篇 data engineering
  • 51 篇 training
  • 43 篇 knowledge manage...
  • 38 篇 feature extracti...
  • 37 篇 ontologies
  • 33 篇 data models
  • 32 篇 educational inst...
  • 32 篇 ontology
  • 31 篇 computational mo...
  • 31 篇 information retr...
  • 30 篇 visualization
  • 29 篇 databases
  • 29 篇 machine learning
  • 28 篇 computer science
  • 28 篇 conferences
  • 27 篇 xml
  • 27 篇 search engines

机构

  • 194 篇 school of inform...
  • 104 篇 school of comput...
  • 56 篇 department of da...
  • 54 篇 department of da...
  • 50 篇 key laboratory o...
  • 49 篇 institute of dat...
  • 49 篇 key laboratory o...
  • 35 篇 knowledge and da...
  • 33 篇 school of inform...
  • 32 篇 jiangxi key labo...
  • 30 篇 key laboratory o...
  • 29 篇 college of compu...
  • 29 篇 key laboratory o...
  • 27 篇 department of ma...
  • 25 篇 key laboratory o...
  • 25 篇 key laboratory o...
  • 24 篇 school of econom...
  • 24 篇 knowledge and da...
  • 22 篇 knowledge and da...
  • 22 篇 knowledge & data...

作者

  • 75 篇 stumme gerd
  • 70 篇 du xiaoyong
  • 60 篇 chen hong
  • 59 篇 nürnberger andre...
  • 41 篇 hanika tom
  • 39 篇 li cuiping
  • 37 篇 xiaoyong du
  • 35 篇 wu xindong
  • 34 篇 atzmueller marti...
  • 33 篇 he jun
  • 33 篇 wade vincent
  • 32 篇 wang meng
  • 32 篇 hotho andreas
  • 31 篇 liu hongyan
  • 30 篇 li xirong
  • 29 篇 hong chen
  • 29 篇 wang shan
  • 28 篇 zhang jing
  • 27 篇 o'sullivan decla...
  • 27 篇 chatterjee soumi...

语言

  • 1,978 篇 英文
  • 55 篇 其他
  • 33 篇 中文
  • 4 篇 德文
检索条件"机构=Knowledge and Data Engineering"
2070 条 记 录,以下是221-230 订阅
排序:
Review of graph construction and graph learning in stock price prediction  9th
Review of graph construction and graph learning in stock pri...
收藏 引用
9th International Conference on Information Technology and Quantitative Management, ITQM 2022
作者: Wang, Yunong Qu, Yi Chen, Zhensong Research Center on Fictitious Economy and Data Science Chinese Academy of Sciences Beijing100190 China Key Laboratory of Big Data Mining and Knowledge Management Chinese Academy of Sciences Beijing100190 China School of Management and Engineering Capital University of Economics and Business Beijing100070 China
Precise prediction of stock prices leads to more profits and more effective risk prevention, which is of great significance to both investors and regulators. Recent years, various kinds of information not directly-rel... 详细信息
来源: 评论
IKGN: Intention-aware knowledge Graph Network for POI Recommendation
IKGN: Intention-aware Knowledge Graph Network for POI Recomm...
收藏 引用
IEEE International Conference on data Mining (ICDM)
作者: Xiaoyu Zhu Chenyang Bu Bingbing Dong Shengwei Ji Yi He Xindong Wu Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China) Hefei University of Technology School of Computer Science and Information Engineering Hefei University of Technology China School of Artificial Intelligence and Big Data Hefei University China Department of Computer Science Old Dominion University USA Research Center for Knowledge Engineering Zhejiang Lab China
Point-of-Interest (POI) recommendation, pivotal for guiding users to their next interested locale, grapples with the persistent challenge of data sparsity. Whereas knowledge graphs (KGs) have emerged as a favored tool...
来源: 评论
Combining Monte-Carlo Tree Search with Proof-Number Search
arXiv
收藏 引用
arXiv 2022年
作者: Doe, Elliot Winands, Mark H.M. Soemers, Dennis J.N.J. Browne, Cameron Games Group Department of Data Science and Knowledge Engineering Maastricht University Maastricht Netherlands
Proof-Number Search (PNS) and Monte-Carlo Tree Search (MCTS) have been successfully applied for decision making in a range of games. This paper proposes a new approach called PN-MCTS that combines these two tree-searc... 详细信息
来源: 评论
Semi-supervised Multi-Label Learning with Missing Labels via Correlation Information
Semi-supervised Multi-Label Learning with Missing Labels via...
收藏 引用
International Joint Conference on Neural Networks (IJCNN)
作者: Zexian Xie Peipei Li Jinling Jiang Xindong Wu Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China) Hefei University of Technology School of Computer Science and Information Engineering Hefei University of Technology Hefei Anhui China Knowledge Engineering Research Center Zhejiang Lab Hangzhou Zhejiang China
In multi-label learning, each instance is associated with a set of labels simultaneously. Most existing studies assume that the set of labels for each instance is complete. However, it is generally difficult to obtain...
来源: 评论
NI-GDBA: Non-Intrusive Distributed Backdoor Attack Based on Adaptive Perturbation on Federated Graph Learning  25
NI-GDBA: Non-Intrusive Distributed Backdoor Attack Based on ...
收藏 引用
34th ACM Web Conference, WWW 2025
作者: Li, Ken Shi, Bin Wei, Jiazhe Dong, Bo School of Computer Science and Technology Xi’an Jiaotong University Ministry of Education Key Laboratory of Intelligent Networks and Network Security Xi’an China School of Computer Science and Technology Xi’an Jiaotong University Shaanxi Province Key Laboratory of Big Data Knowledge Engineering Xi’an China School of Distance Education Xi’an Jiaotong University Shaanxi Province Key Laboratory of Big Data Knowledge Engineering Xi’an China
Federated Graph Learning (FedGL) is an emerging Federated Learning (FL) framework that learns the graph data from various clients to train better Graph Neural Networks(GNNs) model. Owing to concerns regarding the secu... 详细信息
来源: 评论
Evolutionary Algorithms with Heuristic Gradient-based Repair for Constrained Optimization
Evolutionary Algorithms with Heuristic Gradient-based Repair...
收藏 引用
2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022
作者: Du, Jiacheng Bu, Chenyang Liu, Yuxin Liu, Fei Luo, Wenjian Hefei University of Technology Ministry of Education Key Laboratory of Knowledge Engineering with Big Data School of Computer Science and Information Engineering Anhui Hefei230027 China Harbin Institute of Technology School of Computer Science and Technology Guangdong Shenzhen518000 China
Gradient-based repair aims to repair infeasible solutions to feasible ones using the gradient information of the constraints. As an effective constraint handling method, gradientbased repair has received extensive att... 详细信息
来源: 评论
Research Topic Flows in Co-Authorship Networks
arXiv
收藏 引用
arXiv 2022年
作者: Schäfermeier, Bastian Hirth, Johannes Hanika, Tom Knowledge and Data Engineering Group University of Kassel Wilhelmshoeher Allee 73 Kassel Germany
In scientometrics, scientific collaboration is often analyzed by means of co-authorships. An aspect which is often overlooked and more difficult to quantify is the flow of expertise between authors from different rese... 详细信息
来源: 评论
Mapping Research Trajectories
arXiv
收藏 引用
arXiv 2022年
作者: Schäfermeier, Bastian Stumme, Gerd Hanika, Tom Knowledge and Data Engineering University of Kassel Wilhelmshoeher Allee 73 Kassel34121 Germany
Steadily growing amounts of information, such as annually published scientific papers, have become so large that they elude an extensive manual analysis. Hence, to maintain an overview, automated methods for the mappi... 详细信息
来源: 评论
CompressStreamDB: Fine-Grained Adaptive Stream Processing without Decompression
CompressStreamDB: Fine-Grained Adaptive Stream Processing wi...
收藏 引用
International Conference on data engineering
作者: Yu Zhang Feng Zhang Hourun Li Shuhao Zhang Xiaoyong Du Key Laboratory of Data Engineering and Knowledge Engineering (MOE) and School of Information Renmin University of China Information Systems Technology and Design Pillar Singapore University of Technology and Design
Stream processing prevails and SQL query on streams has become one of the most popular application scenarios. For example, in 2021, the global number of active IoT endpoints reaches 12.3 billion. Unfortunately, the in...
来源: 评论
Identifying Scientific and Technical“Unicorns”
收藏 引用
Journal of data and Information Science 2021年 第2期6卷 96-115页
作者: Lucy L.Xu Miao Qi Fred Y.Ye Jiangsu Key Laboratory of Data Engineering and Knowledge Service School of Information ManagementNanjing UniversityNanjing 210023China University Library Nantong UniversityNantong 226019China
Purpose:Using the metaphor of"unicorn,"we identify the scientific papers and technical patents characterized by the informetric feature of very high citations in the first ten years after publishing,which ma... 详细信息
来源: 评论