咨询与建议

限定检索结果

文献类型

  • 583 篇 会议
  • 440 篇 期刊文献
  • 1 册 图书

馆藏范围

  • 1,024 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 633 篇 工学
    • 512 篇 计算机科学与技术...
    • 431 篇 软件工程
    • 148 篇 信息与通信工程
    • 68 篇 控制科学与工程
    • 63 篇 生物工程
    • 51 篇 电气工程
    • 36 篇 机械工程
    • 32 篇 化学工程与技术
    • 31 篇 电子科学与技术(可...
    • 31 篇 生物医学工程(可授...
    • 24 篇 仪器科学与技术
    • 23 篇 动力工程及工程热...
    • 19 篇 航空宇航科学与技...
    • 18 篇 建筑学
    • 16 篇 光学工程
    • 15 篇 交通运输工程
  • 280 篇 管理学
    • 167 篇 图书情报与档案管...
    • 138 篇 管理科学与工程(可...
    • 46 篇 工商管理
  • 270 篇 理学
    • 159 篇 数学
    • 65 篇 生物学
    • 50 篇 物理学
    • 47 篇 统计学(可授理学、...
    • 35 篇 化学
    • 23 篇 系统科学
  • 43 篇 法学
    • 38 篇 社会学
  • 34 篇 医学
    • 30 篇 临床医学
    • 22 篇 基础医学(可授医学...
    • 14 篇 药学(可授医学、理...
  • 17 篇 经济学
    • 17 篇 应用经济学
  • 7 篇 教育学
  • 5 篇 文学
  • 5 篇 农学
  • 1 篇 军事学
  • 1 篇 艺术学

主题

  • 54 篇 semantics
  • 41 篇 data mining
  • 38 篇 knowledge engine...
  • 33 篇 training
  • 23 篇 feature extracti...
  • 22 篇 data engineering
  • 21 篇 computational mo...
  • 20 篇 laboratories
  • 19 篇 conferences
  • 19 篇 big data
  • 19 篇 information retr...
  • 18 篇 task analysis
  • 18 篇 knowledge manage...
  • 18 篇 data models
  • 17 篇 visualization
  • 16 篇 xml
  • 16 篇 databases
  • 15 篇 query processing
  • 15 篇 wireless sensor ...
  • 14 篇 knowledge graph

机构

  • 151 篇 school of inform...
  • 103 篇 school of comput...
  • 50 篇 key laboratory o...
  • 49 篇 key laboratory o...
  • 32 篇 jiangxi key labo...
  • 32 篇 school of inform...
  • 30 篇 key laboratory o...
  • 29 篇 college of compu...
  • 29 篇 key laboratory o...
  • 25 篇 key laboratory o...
  • 25 篇 key laboratory o...
  • 22 篇 key laboratory o...
  • 20 篇 key laboratory o...
  • 18 篇 key laboratory o...
  • 18 篇 school of econom...
  • 18 篇 school of inform...
  • 18 篇 key laboratory o...
  • 17 篇 key laboratory o...
  • 16 篇 school of cyber ...
  • 14 篇 key laboratory o...

作者

  • 48 篇 chen hong
  • 35 篇 wu xindong
  • 34 篇 du xiaoyong
  • 31 篇 wang meng
  • 30 篇 li cuiping
  • 28 篇 zhang jing
  • 28 篇 xiaoyong du
  • 26 篇 wang shan
  • 24 篇 hong chen
  • 24 篇 xindong wu
  • 23 篇 sun geng
  • 20 篇 niyato dusit
  • 19 篇 hong richang
  • 18 篇 liu jun
  • 18 篇 huang qingming
  • 17 篇 meng wang
  • 17 篇 xu qianqian
  • 17 篇 wan changxuan
  • 16 篇 xuegang hu
  • 16 篇 wang yang

语言

  • 954 篇 英文
  • 47 篇 其他
  • 23 篇 中文
检索条件"机构=Knowledge and Data Engineering Laboratory"
1024 条 记 录,以下是251-260 订阅
排序:
Human-in-The-Loop Optimization for Vehicle Body Lightweight Design
SSRN
收藏 引用
SSRN 2024年
作者: Hao, Jia Deng, Ruofan Jia, Liangyue Li, Zuoxuan Industrial and Systems Engineering Laboratory Beijing Institute of Technology Beijing100081 China Yangtze Delta Region Academy of Beijing Institute of Technology Jiaxing314019 China Key Laboratory of Industry Knowledge & Data Fusion Technology and Application Ministry of Industry and Information Technology Beijing Institute of Technology Beijing100081 China
Automatic optimization algorithms play an important role in vehicle body lightweight design;however, the existing methods are still inefficient and result in excessive iterations that escalate both time and costs. Cur... 详细信息
来源: 评论
MTSC-GE: A Novel Graph based Method for Multivariate Time Series Clustering  12
MTSC-GE: A Novel Graph based Method for Multivariate Time Se...
收藏 引用
12th IEEE International Conference on Big knowledge, ICBK 2021
作者: Yang, Ze Tai, Changyang Wu, Gongqing Zhang, Zan Bao, Xianyu Key Laboratory of Knowledge Engineering With Big Data of Ministry of Education Hefei University of Technology Hefei China School of Computer Science and Information Engineering Hefei University of Technology Hefei China Shenzhen Academy of Inspection and Quarantine Shenzhen China
Few clustering methods show good performance on multivariate time series (MTS) data. Traditional methods rely too much on similarity measures and perform poorly on the MTS data with complex structures. This paper prop... 详细信息
来源: 评论
DAGKT: Difficulty and Attempts Boosted Graph-based knowledge Tracing
arXiv
收藏 引用
arXiv 2022年
作者: Luo, Rui Liu, Fei Liang, Wenhao Zhang, Yuhong Bu, Chenyang Hu, Xuegang Key Laboratory of Knowledge Engineering with Big Data The Ministry of Education of China School of Computer Science and Information Engineering Hefei University of Technology China Jianzai Tech Hefei China
In the field of intelligent education, knowledge tracing (KT) has attracted increasing attention, which estimates and traces students’ mastery of knowledge concepts to provide high-quality education. In KT, there are... 详细信息
来源: 评论
SALI: A Scalable Adaptive Learned Index Framework based on Probability Models
arXiv
收藏 引用
arXiv 2023年
作者: Ge, Jiake Zhang, Huanchen Shi, Boyu Luo, Yuanhui Guo, Yunda Chai, Yunpeng Chen, Yuxing Pan, Anqun Key Laboratory of Data Engineering and Knowledge Engineering MOE China Engineering Research Center of Database and Business Intelligence MOE China School of Information Renmin University of China China China and Shanghai Qi Zhi Institute China Tsinghua University China Tencent Inc China
The growth in data storage capacity and the increasing demands for high performance have created several challenges for concurrent indexing structures. One promising solution is learned indexes, which use a learning-b... 详细信息
来源: 评论
Gaussian Model-Based Fully Convolutional Networks for Multivariate Time Series Classification  12
Gaussian Model-Based Fully Convolutional Networks for Multiv...
收藏 引用
12th IEEE International Conference on Big knowledge, ICBK 2021
作者: Tai, Changyang Yang, Ze Zhang, Huicheng Wu, Gongqing Lv, Junwei Bao, Xianyu Key Laboratory of Knowledge Engineering With Big Data of Ministry of Education Hefei University of Technology Hefei China School of Computer Science and Information Engineering Hefei University of Technology Hefei China Shenzhen Academy of Inspection and Quarantine Shenzhen China
Multivariate time series (MTS) classification has been regarded as one of the most challenging problems in data mining due to the difficulty in modeling the correlation of variables and samples. In addition, high-dime... 详细信息
来源: 评论
Size-Invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection  41
Size-Invariance Matters: Rethinking Metrics and Losses for I...
收藏 引用
41st International Conference on Machine Learning, ICML 2024
作者: Li, Feiran Xu, Qianqian Bao, Shilong Yang, Zhiyong Cong, Runmin Cao, Xiaochun Huang, Qingming Institute of Information Engineering Chinese Academy of Sciences Beijing China School of Cyber Security University of Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China Institute of Information Science Beijing Jiaotong University Beijing China School of Control Science and Engineering Shandong University Jinan China Key Laboratory of Machine Intelligence and System Control Ministry of Education Jinan China School of Cyber Science and Tech. Sun Yat-sen University Shenzhen Campus China Key Laboratory of Big Data Mining and Knowledge Management Chinese Academy of Sciences Beijing China
This paper explores the size-invariance of evaluation metrics in Salient Object Detection (SOD), especially when multiple targets of diverse sizes co-exist in the same image. We observe that current metrics are size-s... 详细信息
来源: 评论
NSPG-Miner: Mining Repetitive Negative Sequential Patterns
arXiv
收藏 引用
arXiv 2025年
作者: Li, Yan Wang, Zhulin Liu, Jing Guo, Lei Fournier-Viger, Philippe Wu, Youxi Wu, Xindong School of Economics and Management Hebei University of Technology Tianjin300401 China School of Artificial Intelligence Hebei University of Technology Tianjin300401 China State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology Tianjin300401 China College of Computer Science and Software Engineering Shenzhen University Shenzhen518061 China Hebei Key Laboratory of Big Data Computing 300401 China Key Laboratory of Knowledge Engineering with Big Data The Ministry of Education of China Hefei University of Technology Hefei230009 China
Sequential pattern mining (SPM) with gap constraints (or repetitive SPM or tandem repeat discovery in bioinformatics) can find frequent repetitive subsequences satisfying gap constraints, which are called positive seq... 详细信息
来源: 评论
A Deletable and Modifiable Blockchain Scheme Based on Record Verification Trees and the Multisignature Mechanism
收藏 引用
Computer Modeling in engineering & Sciences 2021年 第7期128卷 223-245页
作者: Daojun Han Jinyu Chen Lei Zhang Yatian Shen Yihua Gao Xueheng Wang Henan Key Laboratory of Big Data Analysis and Processing Henan UniversityKaifeng47500China Institute of Data and Knowledge Engineering Henan UniversityKaifeng47500China School of Computer and Information Engineering Henan UniversityKaifeng47500China Department of Network and Finance Agricultural Bank of China Limited Xuchang BranchXuchang461000China School of Software Pingdingshan UniversityPingdingshan467000China Department of Network and Finance Agricultural Bank of China Limited Nanyang BranchNanyang473000China
As one of the most valuable technologies,blockchains have received extensive attention from researchers and industry circles and are widely applied in various ***,data on a blockchain cannot be *** a result,it is impo... 详细信息
来源: 评论
CLDG: Contrastive Learning on Dynamic Graphs
arXiv
收藏 引用
arXiv 2024年
作者: Xu, Yiming Shi, Bin Ma, Teng Dong, Bo Zhou, Haoyi Zheng, Qinghua Department of Computer Science and Technology Xi’an Jiaotong University China Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering Xi’an Jiaotong University China Department of Distance Education Xi’an Jiaotong University China School of Software Beihang University China Advanced Innovation Center for Big Data and Brain Computing Beihang University China
The graph with complex annotations is the most potent data type, whose constantly evolving motivates further exploration of the unsupervised dynamic graph representation. One of the representative paradigms is graph c... 详细信息
来源: 评论
Fuzzy Preference Completion with Ranked and Unranked Preferences
收藏 引用
Cognitive Computation 2025年 第3期17卷 1-21页
作者: Li, Lei Liu, Pan Zhang, Renjie Tao, Zhenchao Wu, Xindong Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China) Hefei University of Technology Hefei China School of Computer Science and Information Engineering Hefei University of Technology Hefei China Department of Radiation Oncology The First Affiliated Hospital of USTC Division of Life Sciences and Medicine University of Science and Technology of China Hefei China Department of Radiation Oncology Anhui Provincial Cancer Hospital Hefei China
As for social choice, all alternatives are ranked by agents to form preferences as linear orders. However, in applications, sometimes some alternatives cannot be ranked, or it is unnecessary to rank them, which leads ...
来源: 评论