N. T. Tung

17 papers B 1Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient mining of top-K cross-level high utility itemsets on unstable profit databases.
Knowl. Inf. Syst.
N. T. Tung, Duc-Lung Vu, Loan T. T. Nguyen
2025 J jnl
A Nature-Inspired Method to Mine Top-k Multi-Level High-Utility Itemsets.
Cybern. Syst.
N. T. Tung, Trinh D. D. Nguyen, Loan T. T. Nguyen, Quan Thanh Tho, An Mai
2025 J jnl
An efficient method for mining top-k multi-level high utility itemsets.
Knowl. Based Syst.
Loan T. T. Nguyen, N. T. Tung, Bay Vo
2025 J jnl
Efficient mining top-k high utility itemsets in incremental databases based on threshold raising strategies and pre-large concept.
Knowl. Based Syst.
N. T. Tung, Loan T. T. Nguyen, Trinh D. D. Nguyen, Bao Huynh
2025 J jnl
Mining Cross-Level High Utility Itemsets in Unstable and Negative Profit Databases.
IEEE Trans. Knowl. Data Eng.
N. T. Tung, Trinh D. D. Nguyen, Loan T. T. Nguyen, Duc-Lung Vu, Philippe Fournier-Viger, Bay Vo
2024 J jnl
An efficient method for mining High-Utility itemsets from unstable negative profit databases.
Expert Syst. Appl.
N. T. Tung, Trinh D. D. Nguyen, Loan T. T. Nguyen, Bay Vo
2024 J jnl
An efficient strategy for mining high-efficiency itemsets in quantitative databases.
Knowl. Based Syst.
Bao Huynh, N. T. Tung, Trinh D. D. Nguyen, Quang-Thinh Bui, Loan T. T. Nguyen, Unil Yun, Bay Vo
2024 — conf
Efficiently Discover Multi-level Maximal High-Utility Patterns from Hierarchical Databases.
ICCCI (1)
Trinh D. D. Nguyen, N. T. Tung, Loan T. T. Nguyen, Bay Vo
2024 J jnl
MLC-miner: Efficiently discovering multi-level closed high utility patterns from quantitative hierarchical transaction databases.
Expert Syst. Appl.
Trinh D. D. Nguyen, N. T. Tung, Loan T. T. Nguyen, Thiet T. Pham, Bay Vo
2024 J jnl
New approaches for mining high utility itemsets with multiple utility thresholds.
Appl. Intell.
Bao Huynh, N. T. Tung, Trinh D. D. Nguyen, Cuong Trinh, Václav Snásel, Loan T. T. Nguyen
2023 — conf
Efficient Pruning Strategy for Mining High Utility Quantitative Itemsets.
ICCCI (CCIS Volume)
Loan T. T. Nguyen, Anh N. H. Pham, Trinh D. D. Nguyen, Adrianna Kozierkiewicz, Bay Vo, N. T. Tung
2023 — conf
Extracting Top-k High Utility Patterns from Multi-level Transaction Databases.
ACIIDS (1)
Tuan M. Le, Trinh D. D. Nguyen, Loan T. T. Nguyen, Adrianna Kozierkiewicz, N. T. Tung
2023 J jnl
Parallel approaches to extract multi-level high utility itemsets from hierarchical transaction databases.
Knowl. Based Syst.
Trinh D. D. Nguyen, N. T. Tung, Thiet Pham, Loan T. T. Nguyen
2022 J jnl
An efficient method for mining multi-level high utility Itemsets.
Appl. Intell.
N. T. Tung, Loan T. T. Nguyen, Trinh D. D. Nguyen, Bay Vo
2022 J jnl
Efficient mining of cross-level high-utility itemsets in taxonomy quantitative databases.
Inf. Sci.
N. T. Tung, Loan T. T. Nguyen, Trinh D. D. Nguyen, Philippe Fournier-Viger, Ngoc Thanh Nguyen, Bay Vo
2021 J jnl
A General Method for mining high-Utility itemsets with correlated measures.
J. Inf. Telecommun.
Nguyen Manh Hung, N. T. Tung, Bay Vo
2021 B conf
Cross-Level High-Utility Itemset Mining Using Multi-core Processing.
ICCCI
N. T. Tung, Loan T. T. Nguyen, Trinh D. D. Nguyen, Adrianna Kozierkiewicz