Vanha Tran
Orcid: 0000-0003-2714-6707
According to our database1,
Vanha Tran
authored at least 38 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
A Clique-Querying Mining Framework for Discovering High Utility Co-Location Patterns without Generating Candidates.
ACM Trans. Knowl. Discov. Data, January, 2024
An approach based on maximal cliques and multi-density clustering for regional co-location pattern mining.
Expert Syst. Appl., 2024
A High Utility Co-location Pattern Mining Algorithm Using Multiple Utility Thresholds.
Proceedings of the Web Information Systems Engineering - WISE 2024, 2024
Efficient Multilevel Spatial Co-location Pattern Discovery Based on Density-Wise Clustering and MC-Hash Structure.
Proceedings of the Advances in Swarm Intelligence, 2024
Efficient Redundancy Elimination to Discovering Concise Prevalent Co-location Patterns.
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2024
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2024
Efficiently Mining High Average Utility Co-location Patterns Using Maximal Cliques and Pruning Strategies.
Proceedings of the Advances in Computational Intelligence, 2024
MPCD: An Algorithm for Discovering Multilevel Prevalent Co-location Patterns from Heterogeneous Distribution of Spatial Datasets.
Proceedings of the Computational Science and Its Applications - ICCSA 2024, 2024
Discovering Spatial Prevalent Co-location Patterns by Once Scanning Datasets Without Generating Candidates.
Proceedings of the Computational Collective Intelligence - 16th International Conference, 2024
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024
An Algorithm for Discovering Prevalent Co-location Patterns with Considering Both Density and Connectivity.
Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024
2023
A spatial co-location pattern mining framework insensitive to prevalence thresholds based on overlapping cliques.
Distributed Parallel Databases, December, 2023
Efficiently mining maximal l-reachability co-location patterns from spatial data sets.
Intell. Data Anal., 2023
Spatial co-location pattern mining over extended objects based on cell-relation operations.
Expert Syst. Appl., 2023
Meta-PCP: A concise representation of prevalent co-location patterns discovered from spatial data.
Expert Syst. Appl., 2023
Proceedings of the Spatial Data and Intelligence - 4th International Conference, 2023
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2023
Proceedings of the 24th IEEE International Conference on Mobile Data Management, 2023
A multi-view anomalous co-location detection framework considering both intra- and inter-feature couplings.
Proceedings of the 24th IEEE International Conference on Mobile Data Management, 2023
Efficiently Discovering Spatial Prevalent Co-location Patterns Without Distance Thresholds.
Proceedings of the Information Integration and Web Intelligence, 2023
Proceedings of the Data Mining and Big Data - 8th International Conference, 2023
Vietnamese Voice2Text: A Web Application for Whisper Implementation in Vietnamese Automatic Speech Recognition Tasks: Vietnamese Voice2Text.
Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence, 2023
Prompt-Based Fashion Outfits Retrieval and Recommender System Using Binary Hashing (short paper).
Proceedings of the 3rd Italian Workshop on Artificial Intelligence and Applications for Business and Industries (AIABI 2023) co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AI*IA 2023), 2023
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023
2022
Inf. Sci., 2022
ISPRS Int. J. Geo Inf., 2022
Spatial Feature Evolutionary Relationship Discovery Based on Tree Structure Pattern Mining and Spatial Co-Location Pattern Mining in Spatial Cliques.
Proceedings of the Fuzzy Systems and Data Mining VIII, 2022
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022
Discovering Prevalent Weighted Co-Location Patterns on Spatial Data Without Candidates.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022
Mining the Potential Relationships Between Cancer Cases and Industrial Pollution Based on High-Influence Ordered-Pair Patterns.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022
2021
MCHT: A maximal clique and hash table-based maximal prevalent co-location pattern mining algorithm.
Expert Syst. Appl., 2021
2020
Delaunay triangulation-based spatial colocation pattern mining without distance thresholds.
Stat. Anal. Data Min., 2020
2019
Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019
Discovering Spatial Co-Location Patterns by Automatically Determining the Instance Neighbor.
Proceedings of the Fuzzy Systems and Data Mining V, 2019
2016
Recursive Bayesian beamforming with uncertain projected steering vector and strong interferences.
Signal Image Video Process., 2016