Tuong Le

Orcid: 0000-0003-0909-4974

According to our database1, Tuong Le authored at least 51 papers between 2006 and 2023.

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Bibliography

2023
Mining frequent weighted utility patterns with dynamic weighted items from quantitative databases.
Appl. Intell., August, 2023

A new approach for efficiently mining frequent weighted utility patterns.
Appl. Intell., 2023

2022
A robust framework for shoulder implant X-ray image classification.
Data Technol. Appl., 2022

Mining frequent weighted utility itemsets in hierarchical quantitative databases.
Knowl. Based Syst., 2022

An efficient approach for mining weighted uncertain interesting patterns.
Inf. Sci., 2022

A comprehensive survey of imbalanced learning methods for bankruptcy prediction.
IET Commun., 2022

Predicting Monthly Household Water Consumption.
Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2022

Mining Frequent Weighted Utility Patterns in Dynamic Quantitative Databases.
Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2022

2021
Optimization strategies of neural networks for impact damage classification of RC panels in a small dataset.
Appl. Soft Comput., 2021

Noise-adaptive synthetic oversampling technique.
Appl. Intell., 2021

Mining colossal patterns with length constraints.
Appl. Intell., 2021

Efficient Methods for Clickstream Pattern Mining on Incremental Databases.
IEEE Access, 2021

A Sliding Window-Based Approach for Mining Frequent Weighted Patterns Over Data Streams.
IEEE Access, 2021

2020
Multiple Electric Energy Consumption Forecasting Using a Cluster-Based Strategy for Transfer Learning in Smart Building.
Sensors, 2020

Mining top-rank-<i>k</i> frequent weighted itemsets using WN-list structures and an early pruning strategy.
Knowl. Based Syst., 2020

Crime rate detection using social media of different crime locations and Twitter part-of-speech tagger with Brown clustering.
J. Intell. Fuzzy Syst., 2020

Mining top-k frequent patterns from uncertain databases.
Appl. Intell., 2020

Robust Head Pose Estimation Using Extreme Gradient Boosting Machine on Stacked Autoencoders Neural Network.
IEEE Access, 2020

2019
A Robust Framework for Self-Care Problem Identification for Children with Disability.
Symmetry, 2019

A fast and accurate approach for bankruptcy forecasting using squared logistics loss with GPU-based extreme gradient boosting.
Inf. Sci., 2019

A Hybrid Approach Using Oversampling Technique and Cost-Sensitive Learning for Bankruptcy Prediction.
Complex., 2019

A New Approach for Construction of Geodemographic Segmentation Model and Prediction Analysis.
Comput. Intell. Neurosci., 2019

SPPC: a new tree structure for mining erasable patterns in data streams.
Appl. Intell., 2019

A Novel Framework for Trash Classification Using Deep Transfer Learning.
IEEE Access, 2019

2018
A Cluster-Based Boosting Algorithm for Bankruptcy Prediction in a Highly Imbalanced Dataset.
Symmetry, 2018

Oversampling Techniques for Bankruptcy Prediction: Novel Features from a Transaction Dataset.
Symmetry, 2018

Efficient algorithms for mining top-rank-k erasable patterns using pruning strategies and the subsume concept.
Eng. Appl. Artif. Intell., 2018

Mining constrained inter-sequence patterns: a novel approach to cope with item constraints.
Appl. Intell., 2018

2017
A novel approach for mining maximal frequent patterns.
Expert Syst. Appl., 2017

Mining erasable itemsets with subset and superset itemset constraints.
Expert Syst. Appl., 2017

Mining top-k co-occurrence items with sequential pattern.
Expert Syst. Appl., 2017

Efficient Algorithms for Mining Erasable Closed Patterns From Product Datasets.
IEEE Access, 2017

2016
The lattice-based approaches for mining association rules: a review.
WIREs Data Mining Knowl. Discov., 2016

Mining frequent itemsets using the N-list and subsume concepts.
Int. J. Mach. Learn. Cybern., 2016

2015
An N-list-based algorithm for mining frequent closed patterns.
Expert Syst. Appl., 2015

An efficient and effective algorithm for mining top-rank-k frequent patterns.
Expert Syst. Appl., 2015

Fast updated frequent-itemset lattice for transaction deletion.
Data Knowl. Eng., 2015

EIFDD: An efficient approach for erasable itemset mining of very dense datasets.
Appl. Intell., 2015

Discovering Erasable Closed Patterns.
Proceedings of the Intelligent Information and Database Systems - 7th Asian Conference, 2015

2014
A survey of erasable itemset mining algorithms.
WIREs Data Mining Knowl. Discov., 2014

MEI: An efficient algorithm for mining erasable itemsets.
Eng. Appl. Artif. Intell., 2014

An effective approach for maintenance of pre-large-based frequent-itemset lattice in incremental mining.
Appl. Intell., 2014

Enhancing the mining top-rank-k frequent patterns.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Subsume Concept in Erasable Itemset Mining.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2014

A New Approach for Mining Top-Rank-k Erasable Itemsets.
Proceedings of the Intelligent Information and Database Systems - 6th Asian Conference, 2014

2013
A Hybrid Approach for Mining Frequent Itemsets.
Proceedings of the IEEE International Conference on Systems, 2013

An Efficient Algorithm for Mining Erasable Itemsets Using the Difference of NC-Sets.
Proceedings of the IEEE International Conference on Systems, 2013

Maintenance of a Frequent-Itemset Lattice Based on Pre-large Concept.
Proceedings of the Knowledge and Systems Engineering, 2013

Consensus for Collaborative Ontology-Based Vietnamese WordNet Building.
Proceedings of the Intelligent Information and Database Systems - 5th Asian Conference, 2013

2012
Personalized Facets for Semantic Search Using Linked Open Data with Social Networks.
Proceedings of the 2012 Third International Conference on Innovations in Bio-Inspired Computing and Applications, 2012

2006
Bridging Semantic eGovernment Applications using Ontology-to-Ontology Message Translation.
Proceedings of the Semantic Web Meets eGovernment, 2006


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