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Vanha Tran
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2020 – today
- 2024
- [j11]Dongsheng Wang, Lizhen Wang, Xiaoxu Wang, Vanha Tran:
An approach based on maximal cliques and multi-density clustering for regional co-location pattern mining. Expert Syst. Appl. 248: 123414 (2024) - [j10]Lizhen Wang, Vanha Tran, Thanhcong Do:
A Clique-Querying Mining Framework for Discovering High Utility Co-Location Patterns without Generating Candidates. ACM Trans. Knowl. Discov. Data 18(1): 25:1-25:42 (2024) - [c23]Vanluan Nguyen, Vanha Tran:
MPCPM: Multi-level Prevalent Co-location Pattern Miner. APWeb/WAIM (5) 2024: 352-356 - [c22]Vanha Tran, Thiloan Bui, Ducanh Khuat:
Discovering Spatial Prevalent Co-location Patterns by Once Scanning Datasets Without Generating Candidates. ICCCI (2) 2024: 189-201 - [c21]Vanha Tran, Thiloan Bui, Hoangan Le:
MPCD: An Algorithm for Discovering Multilevel Prevalent Co-location Patterns from Heterogeneous Distribution of Spatial Datasets. ICCSA (2) 2024: 101-119 - [c20]Vanha Tran, Thiloan Bui, Thaigiang Do, Hoangan Le:
Efficiently Mining High Average Utility Co-location Patterns Using Maximal Cliques and Pruning Strategies. MICAI (1) 2024: 121-134 - [c19]Vanha Tran, Muquan Zou, Thiloan Bui, Thaigiang Do, Ducanh Khuat, Hoangan Le:
Efficient Multilevel Spatial Co-location Pattern Discovery Based on Density-Wise Clustering and MC-Hash Structure. ICSI 2024: 72-87 - 2023
- [j9]Vanha Tran, Lizhen Wang, Lihua Zhou:
A spatial co-location pattern mining framework insensitive to prevalence thresholds based on overlapping cliques. Distributed Parallel Databases 41(4): 511-548 (2023) - [j8]Jinpeng Zhang, Lizhen Wang, Vanha Tran, Lihua Zhou:
Spatial co-location pattern mining over extended objects based on cell-relation operations. Expert Syst. Appl. 213(Part): 119253 (2023) - [j7]Vanha Tran:
Meta-PCP: A concise representation of prevalent co-location patterns discovered from spatial data. Expert Syst. Appl. 213(Part): 119255 (2023) - [j6]Muquan Zou, Lizhen Wang, Pingping Wu, Vanha Tran:
Efficiently mining maximal l-reachability co-location patterns from spatial data sets. Intell. Data Anal. 27(1): 269-295 (2023) - [c18]Vanha Tran, Caodai Pham, Thanhcong Do, Hoangnam Pham:
Discovering Prevalent Co-location Patterns Without Collecting Co-location Instances. ACIIDS (1) 2023: 408-420 - [c17]Vanha Tran, Lizhen Wang, Jinpeng Zhang, Thanhcong Do:
Efficient Mining of High Utility Co-location Patterns Based on a Query Strategy. ADMA (1) 2023: 401-416 - [c16]Quocdung Nguyen, Hoangnam Pham, Duyhung Dao, Quangmanh Do, Vanha Tran:
Prompt-Based Fashion Outfits Retrieval and Recommender System Using Binary Hashing (short paper). AIABI@AI*IA 2023 - [c15]Quangphuoc Nguyen, Ngocminh Nguyen, Thanhluan Dang, Vanha Tran:
Vietnamese Voice2Text: A Web Application for Whisper Implementation in Vietnamese Automatic Speech Recognition Tasks: Vietnamese Voice2Text. CSAI 2023: 312-318 - [c14]Muquan Zou, Vanha Tran, Ducanh Khuat, Thanhcong Do, Jinpeng Zhang:
Mining Maximal High Utility Co-location Patterns from Large-Scale Spatial Data. DMBD (2) 2023: 173-188 - [c13]Vanha Tran, Duyhai Tran, Anhthang Le, Trongnguyen Ha:
Efficiently Discovering Spatial Prevalent Co-location Patterns Without Distance Thresholds. iiWAS 2023: 447-463 - [c12]Xiwen Jiang, Lizhen Wang, Junyi Li, Hongmei Chen, Vanha Tran:
A multi-view anomalous co-location detection framework considering both intra- and inter-feature couplings. MDM 2023: 132-137 - [c11]Vanha Tran, Caodai Pham, Thanhcong Do, Hoangnam Pham:
δ-CHUCPM: A δ-closed high utility co-location pattern miner. MDM 2023: 196-198 - [c10]Vanha Tran:
Discovering Maximal High Utility Co-location Patterns from Spatial Data. PKAW 2023: 15-28 - [c9]Junyi Li, Lizhen Wang, Vanha Tran, Xiwen Jiang:
Fast Mining Prevalent Co-location Patterns Over Dense Spatial Datasets. SpatialDI 2023: 179-191 - 2022
- [j5]Muquan Zou, Lizhen Wang, Pingping Wu, Vanha Tran:
Mining Type-β Co-Location Patterns on Closeness Centrality in Spatial Data Sets. ISPRS Int. J. Geo Inf. 11(8): 418 (2022) - [j4]Zisong Hu, Lizhen Wang, Vanha Tran, Hongmei Chen:
Efficiently mining spatial co-location patterns utilizing fuzzy grid cliques. Inf. Sci. 592: 361-388 (2022) - [c8]Juanjuan Shu, Lizhen Wang, Peizhong Yang, Vanha Tran:
Mining the Potential Relationships Between Cancer Cases and Industrial Pollution Based on High-Influence Ordered-Pair Patterns. ADMA (1) 2022: 27-40 - [c7]Vanha Tran, Lizhen Wang, Shiyu Zhang, Jinpeng Zhang, SonTung Pham:
Mining ε-Closed High Utility Co-location Patterns from Spatial Data. ADMA (1) 2022: 413-428 - [c6]Vanha Tran, Lizhen Wang, Muquan Zou, Hongmei Chen:
Discovering Prevalent Weighted Co-Location Patterns on Spatial Data Without Candidates. APWeb/WAIM (1) 2022: 417-425 - [c5]Jinpeng Zhang, Lizhen Wang, Wenlu Lou, Vanha Tran:
OESCPM: An Online Extended Spatial Co-location Pattern Mining System. APWeb/WAIM (3) 2022: 441-445 - [c4]Kaishuo Lin, Lizhen Wang, Vanha Tran:
Spatial Feature Evolutionary Relationship Discovery Based on Tree Structure Pattern Mining and Spatial Co-Location Pattern Mining in Spatial Cliques. FSDM 2022: 334-345 - 2021
- [j3]Vanha Tran, Lizhen Wang, Hongmei Chen, Qing Xiao:
MCHT: A maximal clique and hash table-based maximal prevalent co-location pattern mining algorithm. Expert Syst. Appl. 175: 114830 (2021) - 2020
- [j2]Vanha Tran, Lizhen Wang:
Delaunay triangulation-based spatial colocation pattern mining without distance thresholds. Stat. Anal. Data Min. 13(3): 282-304 (2020)
2010 – 2019
- 2019
- [c3]Vanha Tran, Lizhen Wang, Hongmei Chen:
Discovering Spatial Co-Location Patterns by Automatically Determining the Instance Neighbor. FSDM 2019: 583-590 - [c2]Vanha Tran, Lizhen Wang, Hongmei Chen:
A Spatial Co-location Pattern Mining Algorithm Without Distance Thresholds. ICBK 2019: 242-249 - [c1]Vanha Tran, Lizhen Wang, Lihua Zhou:
Mining Spatial Co-Location Patterns Based on Overlap Maximal Clique Partitioning. MDM 2019: 467-472 - 2016
- [j1]Yubing Han, Vanha Tran:
Recursive Bayesian beamforming with uncertain projected steering vector and strong interferences. Signal Image Video Process. 10(5): 975-982 (2016)
Coauthor Index
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last updated on 2024-11-07 21:34 CET by the dblp team
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