N. T. Tung

According to our database, N. T. Tung authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An efficient method for mining High-Utility itemsets from unstable negative profit databases.

N. T. Tung, Trinh D. D. Nguyen, Loan T. T. Nguyen, Bay Vo

Expert Syst. Appl., March, 2024

New approaches for mining high utility itemsets with multiple utility thresholds.

Bao Huynh, N. T. Tung, Trinh D. D. Nguyen, Cuong Trinh, Václav Snásel, Loan T. T. Nguyen

Appl. Intell., January, 2024

2023

Parallel approaches to extract multi-level high utility itemsets from hierarchical transaction databases.

Trinh D. D. Nguyen, N. T. Tung, Thiet Pham, Loan T. T. Nguyen

Knowl. Based Syst., 2023

Efficient Pruning Strategy for Mining High Utility Quantitative Itemsets.

Loan T. T. Nguyen, Anh N. H. Pham, Trinh D. D. Nguyen, Adrianna Kozierkiewicz, Bay Vo, N. T. Tung

Proceedings of the Advances in Computational Collective Intelligence, 2023

Extracting Top-k High Utility Patterns from Multi-level Transaction Databases.

Tuan M. Le, Trinh D. D. Nguyen, Loan T. T. Nguyen, Adrianna Kozierkiewicz, N. T. Tung

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.

N. T. Tung, Loan T. T. Nguyen, Trinh D. D. Nguyen, Philippe Fournier-Viger, Ngoc Thanh Nguyen, Bay Vo

Inf. Sci., 2022

An efficient method for mining multi-level high utility Itemsets.

N. T. Tung, Loan T. T. Nguyen, Trinh D. D. Nguyen, Bay Vo

Appl. Intell., 2022

2021

A General Method for mining high-Utility itemsets with correlated measures.

Nguyen Manh Hung, N. T. Tung, Bay Vo

J. Inf. Telecommun., 2021

Cross-Level High-Utility Itemset Mining Using Multi-core Processing.

N. T. Tung, Loan T. T. Nguyen, Trinh D. D. Nguyen, Adrianna Kozierkiewicz

Proceedings of the Computational Collective Intelligence - 13th International Conference, 2021