Efficient Algorithms for Mining Frequent Itemsets with Constraint. - Anh N. Tran; Hai V. Duong; Tin C. Truong; Bac Hoai Le (KSE, 2011)

Mining Frequent Itemsets with Dualistic Constraints. - Anh N. Tran; Hai V. Duong; Tin C. Truong; Bac Le (PRICAI, 2012)

Mining Association Rules Restricted on Constraint. - Anh N. Tran; Tin C. Truong; Bac Hoai Le; Hai V. Duong (RIVF, 2012)

An Efficient Algorithm for Mining Frequent Itemsets with Single Constraint. - Hai V. Duong; Tin C. Truong; Bac Le (Advanced Computational Methods for Knowledge Engineering, 2013)

An efficient method for mining frequent itemsets with double constraints. - Hai V. Duong; Tin C. Truong; Bay Vo (Eng. Appl. Artif. Intell., 2014)

An efficient method for mining association rules based on minimum single constraints. - Hai Van Duong; Tin Chi Truong (Vietnam. J. Comput. Sci., 2015)

Structure of frequent itemsets with extended double constraints. - Tin Chi Truong; Hai Van Duong; Hoang Nguyen Thuy Ngan (Vietnam. J. Comput. Sci., 2016)

FCloSM, FGenSM: two efficient algorithms for mining frequent closed and generator sequences using the local pruning strategy. - Bac Le; Hai V. Duong; Tin C. Truong; Philippe Fournier-Viger (Knowl. Inf. Syst., 2017)

Efficient algorithms for simultaneously mining concise representations of sequential patterns based on extended pruning conditions. - Hai V. Duong; Tin C. Truong; Bac Le (Eng. Appl. Artif. Intell., 2018)

An Explicit Relationship Between Sequential Patterns and Their Concise Representations. - Hai V. Duong; Tin C. Truong; Bac Le; Philippe Fournier-Viger (BDA, 2019)

FMaxCloHUSM: An efficient algorithm for mining frequent closed and maximal high utility sequences. - Tin C. Truong; Hai V. Duong; Bac Le; Philippe Fournier-Viger (Eng. Appl. Artif. Intell., 2019)

Efficient high average-utility itemset mining using novel vertical weak upper-bounds. - Tin C. Truong; Hai V. Duong; Bac Le; Philippe Fournier-Viger; Unil Yun (Knowl. Based Syst., 2019)

Efficient Vertical Mining of High Average-Utility Itemsets Based on Novel Upper-Bounds. - Tin C. Truong; Hai V. Duong; Bac Le; Philippe Fournier-Viger (IEEE Trans. Knowl. Data Eng., 2019)

EHAUSM: An efficient algorithm for high average utility sequence mining. - Tin C. Truong; Hai V. Duong; Bac Le; Philippe Fournier-Viger (Inf. Sci., 2020)

Fast generation of sequential patterns with item constraints from concise representations. - Hai V. Duong; Tin C. Truong; Anh N. Tran; Bac Le (Knowl. Inf. Syst., 2020)

Mining High Utility Sequences with a Novel Utility Function. - Hanh-Thong Huynh; Hai V. Duong; Tin C. Truong; Bac Le; Philippe Fournier-Viger (KSE, 2021)

Efficient algorithms for mining frequent high utility sequences with constraints. - Tin C. Truong; Hai V. Duong; Bac Le; Philippe Fournier-Viger; Unil Yun; Hamido Fujita (Inf. Sci., 2021)

Pattern Mining: Current Challenges and Opportunities. - Philippe Fournier-Viger; Wensheng Gan; Youxi Wu; Mourad Nouioua; Wei Song 004; Tin C. Truong; Hai Van Duong (DASFAA (Workshops), 2022)

Frequent high minimum average utility sequence mining with constraints in dynamic databases using efficient pruning strategies. - Tin C. Truong; Hai V. Duong; Bac Le; Philippe Fournier-Viger; Unil Yun (Appl. Intell., 2022)

Mining interesting sequences with low average cost and high average utility. - Tin C. Truong; Hai V. Duong; Bac Le; Philippe Fournier-Viger; Unil Yun (Appl. Intell., 2022)

H-FHAUI: Hiding frequent high average utility itemsets. - Bac Le; Tin C. Truong; Hai V. Duong; Philippe Fournier-Viger; Hamido Fujita (Inf. Sci., 2022)

Efficient algorithms for mining closed and maximal high utility itemsets. - Hai V. Duong; Ngan T. H. Le; Thong Tran; Tin C. Truong; Bac Le; Philippe Fournier-Viger (Knowl. Based Syst., 2022)

Controlling LIME Kernel Width to Achieve Comprehensible Explanations on Tabular Data. - Hai V. Duong; Lam Hoang; Bac Le (IUKM (2), 2023)

MFG-HUI: An Efficient Algorithm for Mining Frequent Generators of High Utility Itemsets. - Hai V. Duong; Thong Tran; Tin C. Truong; Bac Le (IUKM (2), 2023)

High Average-Utility Itemset Mining with A Novel Vertical Weak Upper Bound. - Thong Tran; Hai V. Duong; Tin C. Truong; Anh N. Tran (RIVF, 2023)

Efficient mining of concise and informative representations of frequent high utility itemsets. - Thong Tran; Hai V. Duong; Tin C. Truong; Bac Le (Eng. Appl. Artif. Intell., 2023)

An Efficient Algorithm for Mining Frequent High Utility Occupancy Generators. - Hai V. Duong; Tin C. Truong (CCIOT, 2024)

Mining Interesting Sequential Patterns using a Novel Balanced Utility Measure. - Hai V. Duong; Tin C. Truong; Bac Le; Philippe Fournier-Viger (Knowl. Based Syst., 2024)

Efficient algorithms to mine concise representations of frequent high utility occupancy patterns. - Hai V. Duong; Huy Pham; Tin C. Truong; Philippe Fournier-Viger (Appl. Intell., 2024)

CG-FHAUI: an efficient algorithm for simultaneously mining succinct pattern sets of frequent high average utility itemsets. - Hai Van Duong; Tin Chi Truong; Bac Le; Philippe Fournier-Viger (Knowl. Inf. Syst., 2024)

U-HPAUSM: Mining high probability average utility sequences in uncertain quantitative sequential databases. - Hai V. Duong; Tin Truong-Chi; Tien Hoang; Bac Le (Eng. Appl. Artif. Intell., 2025)

Efficient mining of compact high average utility patterns using the tightest weak lower bound. - Thong Tran; Hai Duong 001; Tin Truong 001; Bac Le (Appl. Intell., 2026)