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Bac Le
Publications
- 2022
- [j63]Tin C. Truong, Hai V. Duong, Bac Le, Philippe Fournier-Viger, Unil Yun:
Frequent high minimum average utility sequence mining with constraints in dynamic databases using efficient pruning strategies. Appl. Intell. 52(6): 6106-6128 (2022) - [j62]Tin C. Truong, Hai V. Duong, Bac Le, Philippe Fournier-Viger, Unil Yun:
Mining interesting sequences with low average cost and high average utility. Appl. Intell. 52(7): 7136-7157 (2022) - [j59]Bac Le, Tin C. Truong, Hai V. Duong, Philippe Fournier-Viger, Hamido Fujita:
H-FHAUI: Hiding frequent high average utility itemsets. Inf. Sci. 611: 408-431 (2022) - [j57]Hai V. Duong, Ngan T. H. Le, Thong Tran, Tin C. Truong, Bac Le, Philippe Fournier-Viger:
Efficient algorithms for mining closed and maximal high utility itemsets. Knowl. Based Syst. 257: 109921 (2022) - 2021
- [j50]Tin C. Truong, Hai V. Duong, Bac Le, Philippe Fournier-Viger, Unil Yun, Hamido Fujita:
Efficient algorithms for mining frequent high utility sequences with constraints. Inf. Sci. 568: 239-264 (2021) - [c102]Hanh-Thong Huynh, Hai V. Duong, Tin C. Truong, Bac Le, Philippe Fournier-Viger:
Mining High Utility Sequences with a Novel Utility Function. KSE 2021: 1-6 - 2020
- [j48]Philippe Fournier-Viger, Yimin Zhang, Jerry Chun-Wei Lin, Duy-Tai Dinh, Hoai Bac Le:
Mining correlated high-utility itemsets using various measures. Log. J. IGPL 28(1): 19-32 (2020) - [j46]Tin C. Truong, Hai V. Duong, Bac Le, Philippe Fournier-Viger:
EHAUSM: An efficient algorithm for high average utility sequence mining. Inf. Sci. 515: 302-323 (2020) - 2019
- [j44]Tin C. Truong, Hai V. Duong, Bac Le, Philippe Fournier-Viger:
FMaxCloHUSM: An efficient algorithm for mining frequent closed and maximal high utility sequences. Eng. Appl. Artif. Intell. 85: 1-20 (2019) - [j42]Tin C. Truong, Hai V. Duong, Bac Le, Philippe Fournier-Viger, Unil Yun:
Efficient high average-utility itemset mining using novel vertical weak upper-bounds. Knowl. Based Syst. 183 (2019) - [j41]Tin C. Truong, Hai V. Duong, Bac Le, Philippe Fournier-Viger:
Efficient Vertical Mining of High Average-Utility Itemsets Based on Novel Upper-Bounds. IEEE Trans. Knowl. Data Eng. 31(2): 301-314 (2019) - [c98]Hai V. Duong, Tin C. Truong, Bac Le, Philippe Fournier-Viger:
An Explicit Relationship Between Sequential Patterns and Their Concise Representations. BDA 2019: 341-361 - 2018
- [j38]Duy-Tai Dinh, Bac Le, Philippe Fournier-Viger, Van-Nam Huynh:
An efficient algorithm for mining periodic high-utility sequential patterns. Appl. Intell. 48(12): 4694-4714 (2018) - [j35]Bac Le, Duy-Tai Dinh, Van-Nam Huynh, Quang-Minh Nguyen, Philippe Fournier-Viger:
An efficient algorithm for Hiding High Utility Sequential Patterns. Int. J. Approx. Reason. 95: 77-92 (2018) - 2017
- [j32]Bac Le, Hai V. Duong, Tin C. Truong, Philippe Fournier-Viger:
FCloSM, FGenSM: two efficient algorithms for mining frequent closed and generator sequences using the local pruning strategy. Knowl. Inf. Syst. 53(1): 71-107 (2017) - [j30]Philippe Fournier-Viger, Jerry Chun-Wei Lin, Bay Vo, Tin Chi Truong, Ji Zhang, Hoai Bac Le:
A survey of itemset mining. WIREs Data Mining Knowl. Discov. 7(4) (2017) - 2016
- [c83]Philippe Fournier-Viger, Jerry Chun-Wei Lin, Tai Dinh, Hoai Bac Le:
Mining Correlated High-Utility Itemsets Using the Bond Measure. HAIS 2016: 53-65
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