LE Hoai Bac, PhD

Faculty of Information Technology

University of Science, VNUHCM
Ho Chi Minh City, Vietnam
Tel: (+84) 287 3089 899  or

Scientific Education

  • 1999: PhD in Mathematics at VNUHCM - University of Science.
  • 1990: Master of Computer Science. Hanoi University of Science anh Technology.

Academic & Research Experience

  • Artificial intelligence
  • Machine Learning
  • Data Science
  • Data Mining
  • Soft Computing

Publication List (selected from 2013-now)

List of internation journal articles (selected from 2013-now): (
  1. Long Mai, Bac Le. Joint sentence and aspect-level sentiment analysis of product comments. Annals of Operations Research (ISSN 0245-5330) (2020). (SCIE, IF2.284, Q1). (
  2. Hai Duong, Tin Truong, Anh Tran, Bac Le. Fast generation of sequential patterns with item constraints from concise representations. Knowledge and Information Systems. (ISSN 0219-1377), Vol. 62, Pp 2191-2223. (SCIE. IF 2.397. Q1)
  3. Tin Truong, Hai Duong, Bac Le, Philippe Fournier-Viger. EHAUSM: An efficient algorithm for high average utility sequence mining. Information Sciences (ISSN: 0020-0255). Vol 515, (2020), Pp 302-323 (SCI, IF 5.524, Q1).
  4. Ngoc-Thao Le, Bay Vo, Lam B.Q. Nguyen, Hamido Fujita, Bac Le. Mining weighted subgraphs in a single large graph. Information Sciences. (ISSN: 0020-0255). Vol 514. (2020). Pp 149–165. 323 (SCI, IF 5.524, Q1)
  5. 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): Pp 19-32 (2020) (SCIE, IF 0.609, Q1)
  6. Tin C. Truong, Hai V. Duong, Bac Le, Philippe Fournier - Viger. FMaxCloHUSM: An efficient algorithm for mining frequent closed and maximal high utility sequences. Engineering Applications of Artificial Intelligence. (ISSN 0952-1976). Vol 85 (2019). Pp 1-20. (SCIE. IF 3.526. Q1)
  7. 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 Transactions on Knowledge and Data Engineering. (ISSN 1041-4347). Vol 31(2) - (2019). Pp. 301-314 (SCI, IF 3.857. Q1)
  8. Linh Nguyen, Giang Nguyen, Bac Le. Fast algorithms for mining maximal erasable patterns. Expert System with Application. (ISSN: 0957- 4174). Vol 124 - (2019). Pp. 50-66. (SCIE. IF 4.292. Q1)
  9. Thien-Trang Van, Bay Vo, Bac Le. Mining sequential patterns with itemset constraints. Knowledge and Information Systems. (ISSN 0219-1377). Vol 57(2) - (2018). Pp 311-330. (SCIE. IF 2.397. Q1)
  10. Bac Le, Duy-Tai Dinh, Van-Nam Huynh, Quang-Minh Nguyen, Philippe Fournier-Viger. An efficient algorithm for Hiding High Utility Sequential Patterns. Intenational  Journal  Approx. Reasoning  (ISSN 0888-613X). Vol 95 - (2018).  Pp 77-92. (SCI, IF 1.982. Q1)
  11. Bac Le, Ut Huynh, Duy-Tai Dinh. A pure array structure and parallel strategy for high-utility sequential pattern mining. Expert System with Application. (ISSN: 0957-4174). Vol 104 - (2018). Pp 107-120. (SCIE. IF 4.492. Q1)
  12. Hai V. Duong, Tin C. Truong, Bac Le. Efficient algorithms for simultaneously mining concise representations of sequential patterns based on extended pruning conditions.  Engineering  Applications  of Artificial Intelligence. (ISSN 0952-1976). Vol 67 – (2018). Pp 197-210. (SCIE, IF 3.526. Q1)
  13. Duy-Tai Dinh, Bac Le, Philippe Fournier-Viger, Van-Nam Huynh. An efficient algorithm for mining periodic high-utility sequential patterns. Applied Intelligence. (ISSN 0924-669X). Vol 48(12) – (2018). Pp 4694-4714. (SCI, IF 2.882. Q2)
  14. Trang Van, Atsuo Yoshitaka, Bac Le. Mining web access patterns with super-pattern constraint. Applied Intelligence (ISSN 0924-669X). Vol 48(11) – (2018). Pp 3902-3914. (SCI, IF 2.882. Q2)
  15. Bac Le, Phuc Luong. Optimized cardinality-based generalized itemset mining using transaction ID and numeric encoding. Applied Intelligence (ISSN 0924-669X). Vol 48(8) - 2018. Pp 2067-2080. (SCI, IF 2.882. Q2).
  16. Bac Le, Hai Duong, Tin Truong, Philippe Fournier-Viger. FCloSM, FGenSM: Two efficient algorithms for mining frequent closed and generator sequences using the local pruning strategy. Knowledge and Information Systems. (ISSN: 0219-1377). October 2017, Volume 53, Issue 1, Pp 71–107 (SCIE, IF 2.397. Q1).
  17. Philippe Fournier-Viger, Jerry Chun-Wei Lin, Bay Vo, Tin Chi Truong, Ji Zhang, Hoai Bac Le. A survey of itemset mining. Wiley Interdisc. Rew: Data Mining and Knowledge Discovery. (ISSN: 1942-4795). Vol 7(4) - (2017). (SCI, IF: 2.541. Q1)
  18. Tung Kieu, Bay Vo, Tuong Le, Zhi-Hong Deng, Bac Le, Mining top-k co-occurrence items with sequential pattern, Expert Systems With Applications, (ISSN: 0957- 4174).Volume 85, 1 November 2017, Pp 123–133 (SCIE, IF 4.292. Q1)
  19. Tran, M. T., Le, B., Vo, B., Hong, T. P. Mining non-redundant sequential rules with dynamic bit vectors and pruning techniques, Applied Intelligence. (ISSN 0924-669X). Vol 45(2)- (2016). Pp 333-342, (SCI, IF 2.882. Q2)
  20. Bay Vo, Thien-Phuong Le, Tzung-Pei Hong, Bac Le, Jason J. Jung. An efficient approach for mining frequent item sets with transaction deletion operation. Int. Arab J. Inf. Technol. (ISSN:1683-3198). Vol 13(5). Pp 595-602 (2016) (SCIE, IF 0.724. Q2 )
  21. Dang Nguyen, Bay Vo, Bac Le. CCAR. An efficient method for mining class association rules with itemset constraints. Engineering Applications of Artificial Intelligence. (ISSN 0952-1976). Vol 37 - (2015). Pp 115-124. (SCIE, IF 3.526. Q1)
  22. Quyen Huynh-Thi Le, Tuong Le, Bay Vo, Bac Le. An efficient and effective algorithm for mining top-rank-k frequent patterns. Expert Systems with applications. (ISSN 0957-4174). Vol 42 (1) - (2015). Pp 156-164. (SCIE. IF: 4.292. Q1)
  23. Minh-Thai Tran, Bac Le, and Bay Vo. Combination of dynamic bit vectors and transaction information for mining frequent closed sequences efficiently Engineering Applications of Artificial Intelligence. (ISSN 0952-1976). Vol 38 - (2015). Pp 183-189. (SCIE, IF 3.562. Q1)
  24. Bac Le, Minh-Thai Tran, Bay Vo. Mining frequent closed inter-sequence patterns efficiently using dynamic bit vectors. Applied Intelligence (ISSN 0924-669X). Volume 43, Issue 1 (2015). Pp 74-84. (SCI, IF 2.882. Q2)
  25. Bay Vo, Tuong Le, Tzung Hei Hong, Bac Le. Fast updated frequent-itemset lattice for transaction deletion. Data & Knowledge Engineering. (ISSN: 0169-023X). Vol 96 - (2015). Pp 78-89. (SCIE, IF 1.583. Q2)
  26. Giang Nguyen, Tuong Le, Bay Vo, Bac Le. EIFDD: An efficient approach for erasable itemset mining of very dense datasets. Applied Intelligence. (ISSN 0924-669X). Vol 43.1 – (2015). Pp 85-94. (SCI, IF 2.882. Q2)
  27. Thao-Ngoc Nguyen, Bac Le, Kazunori Miyata. A Novel Integration of Intensity Order and Texture for Effective Feature Description. IEICE Transactions on Information and Systems. (ISSN 0916-8532). Vol 97.8 - (2014). Pp 2021-2029. (SCIE, IF 0.576)
  28. Tran Thang Thanh, Fan Chen, Kazunori Kotani, Bac Le. Extraction of discriminative patterns from skeleton sequences for accurate action recognition. Fundamenta Informaticae. (ISSN 0169-2968). Vol 30 (2) - (2014). Pp 247-261. (SCIE, IF 1.204. Q2)
  29. Phuong-Thanh La, Bac Le, Bay Vo. Incrementally building frequent closed itemset lattice. Expert Systems with Applications. (ISSN: 0957-4174). Vol 41, số 6 (2014). Pp 2703-2712. (SCIE, IF: 4.292. Q1)
  30. Dang Nguyen, Bay Vo, Bac Le. Efficient strategies for parallel mining class association rules. Expert Systems with Applications (ISSN: 0957- 4174). Vol 41 (10) - (2014). 4716-4729. (SCIE, IF: 4.292. Q1)
  31. Thien-Phuong Le, Bay Vo, Tzung Pei Hong, Bac Le, Dosam Hwang. Improving Efficiency of Incremental Mining by Trie Structure and Pre-Large Itemsets. Computing and Informatics. (ISSN 1335-9150). Vol 33(3) (2015). Pp: 609 - 632. (SCIE, IF 0.41. Q3)
  32. Anh Tran, Tin Truong, Bac Le. Simultaneous mining of frequent closed itemsets and their generators: Foundation and algorithm. Engineering Applications of Artificial Intelligence. (ISSN 0952-1976). Vol 36 - (2014). Pp 64-80. (SCIE, IF 3.526. Q1)
  33. Bay Vo, Tuong Le, Tzung-Pei Hong, Bac Le. An effective approach for maintenance of pre-large-based frequent-itemset lattice in incremental mining.  Applied Intelligence. (ISSN 0924-669X). Vol 41(3) - (2014). Pp 759-775. (SCI, IF 2.882. Q2)
  34. Bay Vo, Frans Coenen, Bac Le. A new method for mining Frequent Weighted Itemsets based on WIT-trees. Expert Systems with Applications (ISSN: 0957-4174). Vol 40 (4) -  (2013). Pp 1256-1264. (SCIE, IF 4.292. Q1).
  35. Bay Vo, Tzung-Pei Hong, Bac Le. A lattice-based approach for mining most generalization association rules. Knowledge-Based Systems (ISSN 0950-7051). Vol 45 - (2013). Pp 20-30. (SCI, IF 5.101. Q1)
  36. Anh Tran, Tin Truong, Bac Le. Structures of frequent itemsets and classifying structures of association rule set by order relations. International Journal of Intelligent Information and Database Systems. (ISSN: 1751-5858). Vol 8(4) -  (2014). Pp 295-323. (Scopus)
  37. Hoai-Viet To, Bac Le, Mitsuru Ikeda. An Ontological Approach for Representation of Educational Program. International Journal of Knowledge and Systems Science. (ISSN:1947-8208). Vol 5(3) - (2014). Pp 18-35. (Scopus)
  38. Anh Tran Tin Truong, Bac Le. Efficiently mining association rules based on maximum single constraints. Vietnam Journal of Computer Science. (ISSN 2196-8888). Vol 4 (4) – (2017). Pp 261–277. 
  39. Thien-Trang Van, Bay Vo, and Bac Le. IMSR_PreTree: an improved algorithm for mining sequential rules based on the prefix-tree. Vietnam Journal of Computer Science. (ISSN 2196-8888). Vol 1 (2) - (2014). Pp 97-105.
  40. Bac Le, Hung Nguyen, Dat Tran. A robust fingerprint watermark-based authentication scheme in H. 264/AVC video. Vietnam Journal of Computer Science. (ISSN 2196-88880). Vol 1 (3) - (2014). Pp 193-206