兰州大学机构库

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Using output optimization strategy to improve the performance of F-Miner 会议论文
ICCASM 2010 - 2010 International Conference on Computer Application and System Modeling, Proceedings, Shanxi, Taiyuan, China, October 22, 2010 - October 24, 2010
Authors:  Li, LJ(李龙杰);  Chen, Xiaoyun;  Bai, Shenshen;  Chen, Pengfei;  Li, L. (ljli@lzu.edu.cn)
Favorite  |    Submit date:2017/01/18
Computer applications  Algorithms  Association rules  Data mining  Miners  Optimization  Efficient algorithm  F-Miner  Frequent itemset  Frequent Itemsets  Mining algorithms  Optimization strategy  Output optimization strategies  Time consumption  
Variable length methods for detecting anomaly patterns in time series 会议论文
Proceedings of the 2008 International Symposium on Computational Intelligence and Design, ISCID 2008, Wuhan, China, October 17, 2008 - October 17, 2008
Authors:  Leng, Mingwei;  Chen, Xiaoyun;  Li, LJ(李龙杰);  Leng, M. (lengmw@163.com)
Favorite  |    Submit date:2017/01/18
Algorithms  Artificial Intelligence  Time Series  Anomaly Factor  Anomaly Patterns  Data Sets  Detection Algorithm  Dynamic Time Warping  Quadratic Regression  Variable Length  
Link prediction in weighted networks via motif predictor 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2022, 卷号: 242
Authors:  Li, LJ(李龙杰);  Wen, Yanhong;  Bai, Shenshen;  Liu, Panfeng
Favorite  |    Submit date:2023/01/03
Bayesian networks  Classifiers  Forecasting  Classifieds  Connection probability  Likelihood score  Link prediction  Motif predictor  Naive Bayes models  Node pairs  Performance  Weak ties  Weighted networks  
Link prediction in weighted networks via motif predictor 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2022, 卷号: 242
Authors:  Li, LJ(李龙杰);  Wen, Yanhong;  Bai, Shenshen;  Liu, Panfeng
Favorite  |    Submit date:2022/11/08
Bayesian networks  Classifiers  Forecasting  Classifieds  Connection probability  Likelihood score  Link prediction  Motif predictor  Naive Bayes models  Node pairs  Performance  Weak ties  Weighted networks  Complex networks  Naive Bayes model  
Link prediction in heterogeneous networks based on metapath projection and aggregation 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 227
Authors:  Zhao, Yuncong;  Sun, Yiyang;  Huang, Yaning;  Li, LJ(李龙杰);  Dong, Hu
Favorite  |    Submit date:2023/07/18
Forecasting  Graph embeddings  Graph theory  Graphic methods  Heterogeneous networks  Semantics  Embeddings  Graph neural networks  Learn+  Link prediction  Metapath  Network-based  Node pairs  Prediction methods  Research topics  Semantic graphs  
Dynamic link prediction by learning the representation of node-pair via graph neural networks 期刊论文
Expert Systems with Applications, 2024, 卷号: 241
Authors:  Dong, Hu;  Li, LJ(李龙杰);  Tian, Dongwen;  Sun, Yiyang;  Zhao, Yuncong
Favorite  |    Submit date:2024/01/15
Forecasting  Graph theory  Knowledge management  Dynamic links  Dynamic nature  Dynamic network  Dynamic network analysis  Graph neural networks  Link prediction  Node pairs  Real-world networks  Representation learning  Static networks  
Voting Simulation based Agglomerative Hierarchical Method for Network Community Detection 期刊论文
Scientific Reports, 2018, 卷号: 8
Authors:  Cheng, JJ(程建军);  Yin, Xinhong;  Li, Qi;  Yang, Haijuan;  Li, LJ(李龙杰);  Leng, Mingwei;  Chen, XY(陈晓云)
Favorite  |    Submit date:2018/09/28
A hybrid spectral method for network community detection 会议论文
2nd Asia Pacific Web and Web-Age Information Management Joint Conference on Web and Big Data, APWeb-WAIM 2018, Macau, China, JUL 23-25, 2018
Authors:  Cheng, JJ(程建军);  Li, LJ(李龙杰);  Yang, Haijuan;  Li, Qi;  Chen, XY(陈晓云)
Favorite  |    Submit date:2020/08/31
K-means clustering algorithm based on semi-supervised learning 期刊论文
Journal of Computational Information Systems, 2008, 卷号: 4, 期号: 5, 页码: 2007-2013
Authors:  Leng, Mingwei;  Chen, XY(陈晓云);  Li, LJ(李龙杰);  Leng, M. (lengmw@163.com)
Favorite  |    Submit date:2016/07/15
Algorithm speed  Clustering  Clustering results  Data sets  Gaussian  Influence factors  Initial point  K-means  K-means clustering  K-Means clustering algorithm  Labeled data  Semi-supervised Clustering  Semi-supervised learning  Unlabeled data  Unsupervised clustering  
Finding Missing Links in Complex Networks: A Multiple-Attribute Decision-Making Method 期刊论文
COMPLEXITY, 2018
Authors:  Li, LJ(李龙杰);  Bai, Shenshen;  Leng, Mingwei;  Wang, Lu;  Chen, XY(陈晓云)
Favorite  |    Submit date:2019/10/30