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Division of Data Science

1. Introduction

Division of Data Science (DDS) was formed in 2014 by Ton Duc Thang University. The group focuses on enhancing the existing methods and developing the new methods in Data mining and Natural language processing.

2. Mission and vision

DDS aims to develop and apply the research outcomes in the field of Data mining and Natural language processing in Vietnam and around the world.

3. Research topics

a) Association Rules;

b) Classification Systems;

c) Clustering;

d) Utility Mining;

e) Stream Mining;

f) Applications of Data Mining;

g) Machine Learning;

h) Language Understanding;

i) Learning for NLP and Text Mining;

j) Legal Engineering;

k) Grammatical Analysis of Music;

4. Current members

KSEICT_Nguyen_Thi_Thuy_Loan.jpg

Dr. Thuy Loan Nguyen Thi

Position: Head of Division of Data Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam

Areas of expertise: Machine learning, Data mining

DDS_Vo_Dinh_Bay.jpg

Dr. Vo Dinh Bay

Positions:

• Member of Division of Data Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam

• Associate Professor in Computer Science

Areas of expertise: Knowledge Discovery and Data Mining

Editorship:

• Editor: International Journal of Engineering and Technology Innovation

• Associate Editor: ICIC Express Letters, Part B: Applications

DDS_Le_Hoang_Son.jpg

Dr. Le Hoang Son

Position: Member of Division of Data Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam

Areas of expertise: Soft computing

DDS_Cu_Nguyen_Giap.jpg

Cu Nguyen Giap, MSc

Position: Member of Division of Data Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam

Areas of expertise: Parallel & genetic Algorithm, Neutral network

DDS_Pham_Huy_Thong.jpg

Pham Huy Thong, MSc

Position: Member of Division of Data Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam

Areas of expertise: Parallel & genetic Algorithm, Soft computing

5. Former members (name, title, picture)

DDS_Former_Nguyen_Le_Minh.jpg

Dr. Nguyen Le Minh

Position: Former of Division of Data Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam

DDS_Ton_That_Hoa_An.jpg

Dr. Ton That Hoa An

Position: Former of Division of Data Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam

DDS_Former_Nguyen_Pham_Hai_Dang.jpg

Nguyen Pham Hai Dang, MSc

Position: Former of Division of Data Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam

DDS_Former_Nguyen_Thanh_Long.JPG

Nguyen Thanh Long, MSc

Position: Former of Division of Data Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam

DDS_Charalabos_Skianis.jpg

Dr. Charalabos Skianis

Position: Former of Division of Data Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam

DDS_Tran_Kim_Phuc.jpg

Dr. Tran Kim Phuc

Position: Former of Division of Data Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam

DDS_Le_Cung_Tuong.jpg

Le Cung Tuong, MSc

Position: Former of Division of Data Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam

6. Publications (ISI or Scopus only)

35. Tuong Le, Bay Vo, Sung Wook Baik (2018); Efficient algorithms for mining top-rank-k erasable patterns using pruning strategies and the subsume concept; Engineering Applications of Artificial Intelligence (ISI).

34. Hemanth D. Judea, Anitha J, Popescu Daniela Elenab, Son Le Hoang (2018); A modified genetic algorithm for performance improvement of transform based image steganography systems; Journal of Intelligent & Fuzzy Systems (ISI).

33. D. Jude Hemanth, J. Anitha, Le Hoang Son (2018); Brain signal based human emotion analysis by circular back propagation and Deep Kohonen Neural Networks; Computers & Electrical Engineering (ISI).

32. Rajiv Kapoor, Rashmi Gupta, Le Hoang Son, Sudan Jha, Raghvendra Kumar (2018); Detection of Power Quality Event using Histogram of Oriented Gradients and Support Vector Machine; Measurement (ISI).

31. Jyotir Moy Chatterjee, Le Hoang Son, Srijani Ghatak, Raghvendra Kumar, Manju Khari (2017); BitCoin exclusively informational money: a valuable review from 2010 to 2017; Quality & Quantity (ISI).

30. Tuong Le, Anh Nguyen, Bao Huynh, Bay Vo, Witold Pedrycz (2018); Mining constrained inter-sequence patterns: a novel approach to cope with item constraints; Applied Intelligence (ISI).

29. Kim Phuc Tran, Sven Knoth (2018); Steady-state ARL analysis of ARL-unbiased EWMA-RZ control chart monitoring the ratio of two normal variables; Quality and Reliability Engineering International (ISI).

28. K.P. Tran, P. Castagliola, G. Celano and M.B.C Khoo (2017); Monitoring Compositional Data using Multivariate Exponentially Weighted Moving Average Scheme; Quality and Reliability Engineering International (ISI).

27. Kim Phuc Tran; Run Rules median control charts for monitoring process mean in manufacturing; Quality and Reliability Engineering International (2017) (ISI).

26. Tung Kieu, Bay Vo, Tuong Le, Zhi-Hong Deng, Bac Le (2017); Mining top-k co-occurrence items with sequential pattern; Expert Systems with Applications, Vol. 85, pp. 123-133

25. Thanh-Long Nguyen, Bay Vo, Vaclav Snasel (2017); Efficient algorithms for mining colossal patterns in high dimensional databases; Knowledge-Based Systems, Vol. 122, pp. 75-89 (ISI).

24. Bay Vo, Sang Pham, Tuong Le, Zhi-Hong Deng (2017); A novel approach for mining maximal frequent patterns; Expert Systems with Applications, Vol. 73, pp. 178–186 (ISI).

23. Bay Vo, Tuong Le, Witold Pedrycz, Giang Nguyen, Sung Wook Baik (2017); Mining erasable itemsets with subset and superset itemset constraints; Expert Systems with Applications, Vol. 69, pp. 50–61 (ISI).

22. Le Hoang Son, Pham Huy Thong (2017); Soft computing methods for WiMax Network Planning on 3D Geographical Information Systems; Journal of Computer and System Sciences, Vol. 83, pp. 159–179 (ISI).

21. Le Hoang Son, Nguyen Dang Tien (2017); Tune Up Fuzzy C-Means for Big Data: Some Novel Hybrid Clustering Algorithms Based on Initial Selection and Incremental Clustering; International Journal of Fuzzy Systems, Vol. 46 (3), pp. 652–669  (ISI).

20. Bao Huynh, Bay Vo, Vaclav Snasel (2017); An efficient method for mining frequent sequential patterns using multi-Core processors; Applied Intelligence, Applied Intelligence, Vol. 46 (3), pp. 703–716 (ISI).

19. Bay Vo (2017); An efficient method for mining frequent weighted closed Itemsets from weighted item transaction databases; Journal of Information Science and Engineering, Vol. 33 (1), pp. 199-216 (ISI).

18. Le Hoang Son, Pham Van Viet, Pham Van Hai (2017); Picture inference system: a new fuzzy inference system on picture fuzzy set; Applied Intelligence, Vol. 46 (3), pp. 652–669 (ISI).

17. Van Vo, Jiawei Luo, Bay Vo (2016); Time Series Trend Analysis Based on K-Means and Support Vector Machine; Computing & Informatics, Vol. 35, pp. 111-127 (ISI).

16. Ashwin Ittoo, Le Minh Nguyen, Antal van den Bosch (2016); Text analytics in industry: Challenges, desiderata and trends; Computers in Industry, Vol. 78, pp. 96-107 (ISI).

15. Bay Vo, Tam Tran, Tzung-Pei Hong, Nguyen Le Minh (2016); Using soft set theory for mining maximal association rules in text data; Journal of Universal Computer Science, Vol. 22 (6), pp. 803-821 (ISI).

14. Le Hoang Son, Tran Manh Tuan (2016); A cooperative semi-supervised fuzzy clustering framework for dental X-ray image segmentation; Expert Systems with Applications, Vol. 46, pp. 380 – 393 (ISI).

13. Bay Vo, Tuong Le, Frans Coenen, Tzung-Pei Hong (2016); Mining frequent itemsets using the N-list and subsume concepts; International Journal of Machine Learning and Cybernetics, Vol. 7, pp. 253-265 (ISI).

12. Le Hoang Son, Pham Van Hai (2016); A novel multiple fuzzy clustering method based on internal clustering validation measures with gradient descent; International Journal of Fuzzy Systems, Volume 18, Issue 5, Pages 894–903 (ISI).

11. Pham Huy Thong, Le Hoang Son (2016); Picture fuzzy clustering: a new computational intelligence method; Soft Computing, Vol. 20, pp. 3549–3562 (ISI).

10. Giang Nguyen, Tuong Le, Bay Vo, Bac Le (2015); EIFDD: An efficient approach for erasable itemset mining of very dense datasets; Applied Intelligence, Vol. 43, pp. 85 – 94 (ISI).

9. Dang Nguyen, Loan T.T. Nguyen, Bay Vo, Tzung-Pei Hong (2017); A novel method for constrained class association rule mining; Information Sciences, Vol. 320, pp. 107 – 125 (ISI).

8. Bay Vo, Tuong Le, Tzung-Pei Hong, Bac Le (2015); Fast updated frequent-itemset lattice for transaction deletion; Data & Knowledge Engineering, Vol. 96 – 97, pp. 78 – 79 (ISI).

7. Tuong Le, Bay Vo (2015); An N-list-based algorithm for mining frequent closed patterns; Expert Systems with Applications, Vol. 42, pp. 6648 – 6657 (ISI).

6. Bac Le, Minh-Thai Tran, Bay Vo (2015); Mining frequent closed inter-sequence patterns efficiently using dynamic bit vectors; Applied Intelligence, Vol. 43, pp. 74 – 84 (ISI).

5. Dang Nguyen, Bay Vo, Bac Le (2015); CCAR: An efficient method for mining class association rules with itemset constraints; Engineering Applications of Artificial Intelligence, Vol. 37, pp. 115 – 124 (ISI).

4. Quyen Huynh-Thi-Le, Tuong Le, Bay Vo, Bac Le (2015); An efficient and effective algorithm for mining top-rank-k frequent patterns; Expert Systems with Applications, Vol. 42, pp. 156 – 164 (ISI).

3. Bay Vo, Tuong Le, Tzung-Pei Hong, Bac Le (2017); An effective approach for maintenance of pre-large-based frequent-itemset lattice in incremental mining; Applied Intelligence, Vol. 41, pp. 759 – 775 (ISI).

2. Tuong Le, Bay Vo, Giang Nguyen (2014); A survey of erasable itemset mining algorithms; WIREs Data Mining and Knowledge Discovery, Vol. 4, pp. 356 – 379 (ISI).

1. Thien-Phuong Le, Bay Vo, Tzung-Pei Hong, Bac Le, Dosam Hwang (2014); Improving efficiency of incremental mining by Trie structure and Pre-large itemsets; Computing and Informatics, Vol. 33, pp. 609–632 (ISI).

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