Tuong Le
Tuong Le
Ton Duc Thang University, Ho Chi Minh City, Vietnam
tdtu.edu.vn üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
762016
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
532015
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
402015
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
39*2018
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
Oversampling techniques for bankruptcy prediction: novel features from a transaction dataset
T Le, MY Lee, JR Park, SW Baik
Symmetry 10 (4), 79, 2018
342018
A Novel Approach for Mining Maximal Frequent Patterns
B Vo, S Pham, T Le, ZH Deng
Expert Systems with Applications 73, 178-186, 2017
322017
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
272019
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
242017
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
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
232018
Race recognition using deep convolutional neural networks
T Vo, T Nguyen, CT Le
Symmetry 10 (11), 564, 2018
222018
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
222017
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
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 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
182019
EIFDD: An efficient approach for erasable itemset mining of very dense datasets
G Nguyen, T Le, B Vo, B Le
Applied Intelligence 43 (1), 85-94, 2015
152015
A survey of erasable itemset mining algorithms
T Le, B Vo, G Nguyen
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 4 (5 …, 2014
152014
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