| MCHT: A maximal clique and hash table-based maximal prevalent co-location pattern mining algorithm V Tran, L Wang, H Chen, Q Xiao Expert Systems with Applications 175, 114830, 2021 | 27 | 2021 |
| Efficiently mining spatial co-location patterns utilizing fuzzy grid cliques Z Hu, L Wang, V Tran, H Chen Information Sciences 592, 361-388, 2022 | 15 | 2022 |
| Delaunay triangulation‐based spatial colocation pattern mining without distance thresholds V Tran, L Wang Statistical Analysis and Data Mining: The ASA Data Science Journal 13 (3 …, 2020 | 11 | 2020 |
| A spatial co-location pattern mining framework insensitive to prevalence thresholds based on overlapping cliques V Tran, L Wang, L Zhou Distributed and Parallel Databases 41 (4), 511-548, 2023 | 10 | 2023 |
| Mining spatial co-location patterns based on overlap maximal clique partitioning V Tran, L Wang, L Zhou 2019 20th IEEE International Conference on Mobile Data Management (MDM), 467-472, 2019 | 10 | 2019 |
| Recursive Bayesian beamforming with uncertain projected steering vector and strong interferences Y Han, V Tran Signal, Image and Video Processing 10 (5), 975-982, 2016 | 6 | 2016 |
| A spatial co-location pattern mining algorithm without distance thresholds V Tran, L Wang, H Chen 2019 IEEE International Conference on Big Knowledge (ICBK), 242-249, 2019 | 4 | 2019 |
| An approach based on maximal cliques and multi-density clustering for regional co-location pattern mining D Wang, L Wang, X Wang, V Tran Expert Systems with Applications 248, 123414, 2024 | 3 | 2024 |
| Spatial co-location pattern mining over extended objects based on cell-relation operations J Zhang, L Wang, V Tran, L Zhou Expert Systems with Applications 213, 119253, 2023 | 3 | 2023 |
| Meta-PCP: a concise representation of prevalent co-location patterns discovered from spatial data V Tran Expert Systems with Applications 213, 119255, 2023 | 3 | 2023 |
| A Clique-Querying Mining Framework for Discovering High Utility Co-Location Patterns without Generating Candidates L Wang, V Tran, T Do ACM Transactions on Knowledge Discovery from Data 18 (1), 1-42, 2023 | 2 | 2023 |
| Mining the potential relationships between cancer cases and industrial pollution based on high-influence ordered-pair patterns J Shu, L Wang, P Yang, V Tran International Conference on Advanced Data Mining and Applications, 27-40, 2022 | 2 | 2022 |
| Discovering spatial co-location patterns by automatically determining the instance neighbor V Tran, L Wang, H Chen Fuzzy Systems and Data Mining V, 583-590, 2019 | 2 | 2019 |
| Efficiently Discovering Spatial Prevalent Co-location Patterns Without Distance Thresholds V Tran, D Tran, A Le, T Ha International Conference on Information Integration and Web Intelligence …, 2023 | 1 | 2023 |
| Fast mining prevalent co-location patterns over dense spatial datasets J Li, L Wang, V Tran, J Li, X Jiang International Conference on Spatial Data and Intelligence, 179-191, 2023 | 1 | 2023 |
| Efficiently mining maximal l-reachability co-location patterns from spatial data sets M Zou, L Wang, P Wu, V Tran Intelligent Data Analysis 27 (1), 269-295, 2023 | 1 | 2023 |
| 基于图数据库的空间频繁并置模式挖掘 胡自松， 王丽珍， V Tran 计算机科学与探索 16 (4), 806, 2022 | 1 | 2022 |
| Mining Spatial Prevalent Co-location Patterns Based on Graph Databases. HU Zisong, W Lizhen, V Tran, Z Lihua Journal of Frontiers of Computer Science & Technology 16 (4), 2022 | 1 | 2022 |
| Compact tri-band bandpass filter using embedded resonators with multiple transmission zeros MT Doan, QT Do, VH Tran The 2012 International Conference on Advanced Technologies for …, 2012 | 1 | 2012 |
| Extending the Fixed-Effects Model on Nonlinear Least Squares H Duan, M Zou, J Yang, V Tran Preprints, 2024 | | 2024 |
Lizhen Wangprofessor of Yunnan University在 ynu.edu.cn 的电子邮件经过验证
Lizhen Wangprofessor of Yunnan University在 ynu.edu.cn 的电子邮件经过验证