Tuong Le

发表

A survey of erasable itemset mining algorithms

Bay Vo, Tuong Le, Giang Nguyen, 2014, Wiley Interdiscip. Rev. Data Min. Knowl. Discov..

Mining top-rank-k frequent weighted itemsets using WN-list structures and an early pruning strategy

Tuong Le, Bay Vo, Huong Bui, 2020, Knowl. Based Syst..

An Efficient Algorithm for Mining Erasable Itemsets Using the Difference of NC-Sets

Frans Coenen, Bay Vo, Tuong Le, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

An efficient and effective algorithm for mining top-rank-k frequent patterns

Bay Vo, Hoai Bac Le, Tuong Le, 2015, Expert Syst. Appl..

A novel approach for mining maximal frequent patterns

Bay Vo, Tuong Le, Zhi-Hong Deng, 2017, Expert Syst. Appl..

The lattice‐based approaches for mining association rules: a review

Bay Vo, Tuong Le, Bay Vo, 2016, WIREs Data Mining Knowl. Discov..

Mining top-k frequent patterns from uncertain databases

Sung Wook Baik, Van-Nam Huynh, Bay Vo, 2020, Applied Intelligence.

Discovering Erasable Closed Patterns

Bay Vo, Hoai Bac Le, Tuong Le, 2015, ACIIDS.

An effective approach for maintenance of pre-large-based frequent-itemset lattice in incremental mining

Tzung-Pei Hong, Bay Vo, Hoai Bac Le, 2014, Applied Intelligence.

Performance analysis for SIP based VoIP services over airborne tactical networks

Tuong Le, Gregory Hadynski, Steven Cook, 2010, 2010 IEEE Aerospace Conference.

SPPC: a new tree structure for mining erasable patterns in data streams

Sung Wook Baik, Mi Young Lee, Philippe Fournier-Viger, 2018, Applied Intelligence.

A New Approach for Mining Top-Rank-k Erasable Itemsets

Bay Vo, Hoai Bac Le, Tuong Le, 2014, ACIIDS.

Enable VoIP survivability for future tactical Airborne Networks

Tuong Le, Steve Cook, David Parker, 2010, 2010 - MILCOM 2010 MILITARY COMMUNICATIONS CONFERENCE.

EIFDD: An efficient approach for erasable itemset mining of very dense datasets

Bay Vo, Hoai Bac Le, Tuong Le, 2014, Applied Intelligence.

Maintenance of a Frequent-Itemset Lattice Based on Pre-large Concept

Tzung-Pei Hong, Bay Vo, Hoai Bac Le, 2013, KSE.

A Hybrid Approach Using Oversampling Technique and Cost-Sensitive Learning for Bankruptcy Prediction

Sung Wook Baik, Mi Young Lee, Bay Vo, 2019, Complex..

An N-list-based algorithm for mining frequent closed patterns

Bay Vo, Tuong Le, Bay Vo, 2015, Expert Syst. Appl..

Personalized Facets for Semantic Search Using Linked Open Data with Social Networks

Bay Vo, Trong Hai Duong, Tuong Le, 2012, 2012 Third International Conference on Innovations in Bio-Inspired Computing and Applications.

Mining top-k co-occurrence items with sequential pattern

Bay Vo, Hoai Bac Le, Tung Kieu, 2017, Expert Syst. Appl..

Oversampling Techniques for Bankruptcy Prediction: Novel Features from a Transaction Dataset

Sung Wook Baik, Mi Young Lee, Tuong Le, 2018, Symmetry.

Fast updated frequent-itemset lattice for transaction deletion

Tzung-Pei Hong, Bay Vo, Hoai Bac Le, 2015, Data Knowl. Eng..

Subsume Concept in Erasable Itemset Mining

Bay Vo, Hoai Bac Le, Tuong Le, 2014, ICCCI.

Improving Electric Energy Consumption Prediction Using CNN and Bi-LSTM

Sung Wook Baik, Bay Vo, Tuong Le, 2019, Applied Sciences.

Mining erasable itemsets with subset and superset itemset constraints

Witold Pedrycz, Sung Wook Baik, Bay Vo, 2017, Expert Syst. Appl..

Efficient algorithms for mining top-rank-k erasable patterns using pruning strategies and the subsume concept

Sung Wook Baik, Bay Vo, Tuong Le, 2018, Eng. Appl. Artif. Intell..

Consensus for Collaborative Ontology-Based Vietnamese WordNet Building

Sanggil Kang, Bay Vo, Trong Hai Duong, 2013, ACIIDS.

Bridging Semantic eGovernment Applications using Ontology-to-Ontology Message Translation

Tuong Le, Todd Hughes, Michael Czajkowski, 2006, AAAI Spring Symposium: Semantic Web Meets eGovernment.

Mining constrained inter-sequence patterns: a novel approach to cope with item constraints

Witold Pedrycz, Anh Nguyen, Bay Vo, 2018, Applied Intelligence.

MEI: An efficient algorithm for mining erasable itemsets

Bay Vo, Tuong Le, Bay Vo, 2014, Eng. Appl. Artif. Intell..

A New Approach for Construction of Geodemographic Segmentation Model and Prediction Analysis

Sung Wook Baik, Manju Khari, Raghvendra Kumar, 2019, Comput. Intell. Neurosci..

Enhancing the mining top-rank-k frequent patterns

Bay Vo, Hoai Bac Le, Tuong Le, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

A Robust Framework for Self-Care Problem Identification for Children with Disability

Sung Wook Baik, Tuong Le, S. Baik, 2019, Symmetry.

Crime rate detection using social media of different crime locations and Twitter part-of-speech tagger with Brown clustering

Binh Thai Pham, Le Hoang Son, Raghvendra Kumar, 2020, J. Intell. Fuzzy Syst..

Mining frequent itemsets using the N-list and subsume concepts

Tzung-Pei Hong, Frans Coenen, Bay Vo, 2014, Int. J. Mach. Learn. Cybern..

A Cluster-Based Boosting Algorithm for Bankruptcy Prediction in a Highly Imbalanced Dataset

Sung Wook Baik, Mi Young Lee, Le Hoang Son, 2018, Symmetry.

A Hybrid Approach for Mining Frequent Itemsets

Tzung-Pei Hong, Frans Coenen, Bay Vo, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Reliable User Datagram Protocol for airborne network

Tuong Le, David Parker, Prakash Sesha, 2009, MILCOM 2009 - 2009 IEEE Military Communications Conference.

A fast and accurate approach for bankruptcy forecasting using squared logistics loss with GPU-based extreme gradient boosting

Ngoc Thanh Nguyen, Sung Wook Baik, Hamido Fujita, 2019, Inf. Sci..

Mining colossal patterns with length constraints

Tzung-Pei Hong, Vaclav Snasel, Tuong Le, 2021, Applied Intelligence.

Noise-adaptive synthetic oversampling technique

Tuong Le, Minh Thanh Vo, Anh H. Vo, 2021, Applied Intelligence.

A Sliding Window-Based Approach for Mining Frequent Weighted Patterns Over Data Streams

Tu-Anh Nguyen-Hoang, Bay Vo, Tuong Le, 2021, IEEE Access.