Thiloan Bui

According to our database1, Thiloan Bui authored at least 13 papers between 2024 and 2025.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2025
A common and efficient algorithm for discovering high utility co-location patterns and their concise representation from massive spatial data.
J. Supercomput., May, 2025

2024
MTRM: A Web-Miner Multi-Threshold Mining Co-location Patterns to Mitigate Redundancy.
Proceedings of the Web Information Systems Engineering - WISE 2024 PhD Symposium, Demos and Workshops, 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

Mining Prevalent Co-location Patterns with Multiple Minimum Prevalence Thresholds.
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2024

Discovering High Average Utility Co-location Patterns Using an Upper Bound Utility and a Hierarchical Instance Tree.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2024

A New Method of Mining High Utility Co-location Patterns from Spatial Data.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2024

Implementation of a License Plate Recognition System in Vietnam Using Embedding Devices.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 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

An Efficient Clique-Based Level-Wise Search Algorithm for Spatial Prevalent Co-location Pattern Mining.
Proceedings of the Artificial Intelligence and Soft Computing, 2024

Density and Connectivity-Based Neighbor Relationship Materialization for Discovering Prevalent Co-location Patterns.
Proceedings of the Big Data Analytics in Astronomy, Science, and Engineering, 2024


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