Tuong Le
Tuong Le
Ton Duc Thang University, Ho Chi Minh City, Vietnam
Geverifieerd e-mailadres voor tdtu.edu.vn - Homepage
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Mining frequent itemsets using the N-list and subsume concepts
B Vo, T Le, F Coenen, TP Hong
International Journal of Machine Learning and Cybernetics 7 (2), 253-265, 2016
802016
An efficient and effective algorithm for mining top-rank-k frequent patterns
Q Huynh-Thi-Le, T Le, B Vo, B Le
Expert Systems with Applications 42 (1), 156-164, 2015
562015
MEI: an efficient algorithm for mining erasable itemsets
T Le, B Vo
Engineering Applications of Artificial Intelligence 27, 155-166, 2014
512014
An N-list-based algorithm for mining frequent closed patterns
T Le, B Vo
Expert Systems with Applications 42 (19), 6648-6657, 2015
452015
A Cluster-Based Boosting Algorithm for Bankruptcy Prediction in a Highly Imbalanced Dataset
T Le, HS Le, MT Vo, MY Lee, SW Baik
Symmetry 10 (7), 250, 2018
42*2018
Oversampling techniques for bankruptcy prediction: novel features from a transaction dataset
T Le, MY Lee, JR Park, SW Baik
Symmetry 10 (4), 79, 2018
392018
An efficient algorithm for mining erasable itemsets using the difference of NC-Sets
T Le, B Vo, F Coenen
2013 IEEE International Conference on Systems, Man, and Cybernetics, 2270-2274, 2013
392013
Improving electric energy consumption prediction using CNN and Bi-LSTM
T Le, MT Vo, B Vo, E Hwang, S Rho, SW Baik
Applied Sciences 9 (20), 4237, 2019
382019
A Novel Approach for Mining Maximal Frequent Patterns
B Vo, S Pham, T Le, ZH Deng
Expert Systems with Applications 73, 178-186, 2017
332017
Mining erasable itemsets with subset and superset itemset constraints
B Vo, T Le, W Pedrycz, G Nguyen, SW Baik
Expert Systems with Applications 69, 50-61, 2017
262017
Efficient algorithms for mining top-rank-k erasable patterns using pruning strategies and the subsume concept
T Le, B Vo, SW Baik
Engineering Applications of Artificial Intelligence 68, 1-9, 2018
252018
Mining top-k co-occurrence items with sequential pattern
T Kieu, B Vo, T Le, ZH Deng, B Le
Expert Systems with Applications 85, 123-133, 2017
252017
Race recognition using deep convolutional neural networks
T Vo, T Nguyen, CT Le
Symmetry 10 (11), 564, 2018
242018
An effective approach for maintenance of pre-large-based frequent-itemset lattice in incremental mining
B Vo, T Le, TP Hong, B Le
Applied Intelligence 41 (3), 759-775, 2014
242014
A Novel Framework for Trash Classification Using Deep Transfer Learning
AH Vo, HS Le, MT Vo, T Le
IEEE Access 7, 178631-178639, 2019
222019
A hybrid approach for mining frequent itemsets
B Vo, F Coenen, T Le, TP Hong
2013 IEEE International Conference on Systems, Man, and Cybernetics, 4647-4651, 2013
222013
A fast and accurate approach for bankruptcy forecasting using squared logistics loss with GPU-based extreme gradient boosting
T Le, B Vo, H Fujita, NT Nguyen, SW Baik
Information Sciences 494, 294-310, 2019
212019
The lattice‐based approaches for mining association rules: a review
T Le, B Vo
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 6 (4 …, 2016
212016
A New Approach for Mining Top-Rank-k Erasable Itemsets
G Nguyen, T Le, B Vo, B Le
Asian Conference on Intelligent Information and Database Systems, 73-82, 2014
192014
A hybrid approach using oversampling technique and cost-sensitive learning for bankruptcy prediction
T Le, MT Vo, B Vo, MY Lee, SW Baik
Complexity 2019, 2019
182019
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Artikelen 1–20