Structure of Association Rule Set Based on Min-Min Basic Rules. - Tin C. Truong; Anh N. Tran; Thong Tran (RIVF, 2010)

Structure of Set of Association Rules Based on Concept Lattice. - Tin C. Truong; Anh N. Tran (Advances in Intelligent Information and Database Systems, 2010)

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

Structures of Association Rule Set. - Anh N. Tran; Tin C. Truong; Bac Le (ACIIDS (2), 2012)

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 Approach for Mining Association Rules Intersected with Constraint Itemsets. - Anh N. Tran; Tin C. Truong; Bac Le (KSE (2), 2013)

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 Approach for Mining Concurrently Closed Itemsets and Generators. - Anh N. Tran; 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)

Simultaneous mining of frequent closed itemsets and their generators: Foundation and algorithm. - Anh N. Tran; Tin C. Truong; Bac Le (Eng. Appl. Artif. Intell., 2014)

Structures of frequent itemsets and classifying structures of association rule set by order relations. - Anh N. Tran; Tin C. Truong; Hoai Bac Le (Int. J. Intell. Inf. Database Syst., 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)

Efficiently mining association rules based on maximum single constraints. - Anh N. Tran; Tin C. Truong; Bac Le (Vietnam. J. Comput. Sci., 2017)

A survey of itemset mining. - Philippe Fournier-Viger; Jerry Chun-Wei Lin; Bay Vo; Tin Chi Truong; Ji Zhang 001; Hoai Bac Le (WIREs Data Mining Knowl. Discov., 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)

Discovering and Visualizing Efficient Patterns in Cost/Utility Sequences. - Philippe Fournier-Viger; Jiaxuan Li; Jerry Chun-Wei Lin; Tin Truong-Chi (DaWaK, 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)

Efficient Approach for Damped Window-Based High Utility Pattern Mining With List Structure. - Hyoju Nam; Unil Yun; Bay Vo; Tin C. Truong; Zhi-Hong Deng 001; Eunchul Yoon (IEEE Access, 2020)

Efficient transaction deleting approach of pre-large based high utility pattern mining in dynamic databases. - Unil Yun; Hyoju Nam; Jongseong Kim; Heonho Kim; Yoonji Baek; Judae Lee; Eunchul Yoon; Tin C. Truong; Bay Vo; Witold Pedrycz (Future Gener. Comput. Syst., 2020)

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 cost-effective patterns in event logs. - Philippe Fournier-Viger; Jiaxuan Li; Jerry Chun-Wei Lin; Tin Truong-Chi; R. Uday Kiran (Knowl. Based 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 discovering high-utility patterns with strong frequency affinities. - Nhan Vuong; Bac Le; Tin C. Truong; Nguyen Duy Phuong (Expert Syst. Appl., 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)

Approximate high utility itemset mining in noisy environments. - Yoonji Baek; Unil Yun; Heonho Kim; Jongseong Kim; Bay Vo; Tin C. Truong; Zhi-Hong Deng 001 (Knowl. Based Syst., 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)

Advanced uncertainty based approach for discovering erasable product patterns. - Chanhee Lee; Yoonji Baek; Jerry Chun-Wei Lin; Tin C. Truong; Unil Yun (Knowl. Based Syst., 2022)

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)

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)