Trinh D. D. Nguyen

Orcid: 0000-0002-2524-6416

According to our database1, Trinh D. D. Nguyen authored at least 20 papers between 2019 and 2024.

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Bibliography

2024
Mining Association Rules from a Single Large Graph.
Cybern. Syst., April, 2024

An efficient method for mining High-Utility itemsets from unstable negative profit databases.
Expert Syst. Appl., March, 2024

New approaches for mining high utility itemsets with multiple utility thresholds.
Appl. Intell., January, 2024

An efficient strategy for mining high-efficiency itemsets in quantitative databases.
Knowl. Based Syst., 2024

MLC-miner: Efficiently discovering multi-level closed high utility patterns from quantitative hierarchical transaction databases.
Expert Syst. Appl., 2024

Efficiently Discover Multi-level Maximal High-Utility Patterns from Hierarchical Databases.
Proceedings of the Computational Collective Intelligence - 16th International Conference, 2024

2023
Parallel approaches to extract multi-level high utility itemsets from hierarchical transaction databases.
Knowl. Based Syst., 2023

Efficient Pruning Strategy for Mining High Utility Quantitative Itemsets.
Proceedings of the Advances in Computational Collective Intelligence, 2023

Extracting Top-k High Utility Patterns from Multi-level Transaction Databases.
Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023

2022
Efficient mining of cross-level high-utility itemsets in taxonomy quantitative databases.
Inf. Sci., 2022

An efficient method for mining multi-level high utility Itemsets.
Appl. Intell., 2022

2021
Efficient algorithms for mining closed high utility itemsets in dynamic profit databases.
Expert Syst. Appl., 2021

Cross-Level High-Utility Itemset Mining Using Multi-core Processing.
Proceedings of the Computational Collective Intelligence - 13th International Conference, 2021

An Efficient Approach for Mining High-Utility Itemsets from Multiple Abstraction Levels.
Proceedings of the Intelligent Information and Database Systems - 13th Asian Conference, 2021

2020
Mining Maximal High Utility Itemsets on Dynamic Profit Databases.
Cybern. Syst., 2020

A Multi-Core Approach to Efficiently Mining High-Utility Itemsets in Dynamic Profit Databases.
IEEE Access, 2020

An Efficient Method for Mining Closed Potential High-Utility Itemsets.
IEEE Access, 2020

An N-List-Based Approach for Mining Frequent Inter-Transaction Patterns.
IEEE Access, 2020

Efficient Method for Mining High-Utility Itemsets Using High-Average Utility Measure.
Proceedings of the Computational Collective Intelligence - 12th International Conference, 2020

2019
Mining high-utility itemsets in dynamic profit databases.
Knowl. Based Syst., 2019


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