Loan T. T. Nguyen

Nam Ngoc Pham

Inf. Sci., 2024

MLC-miner: Efficiently discovering multi-level closed high utility patterns from quantitative hierarchical transaction databases.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

Efficiently Discover Multi-level Maximal High-Utility Patterns from Hierarchical Databases.

[BibT_eX]

[DOI]

Proceedings of the Computational Collective Intelligence - 16th International Conference, 2024

Investigation of Machine Learning and Deep Learning Approaches for Early PM2.5 Forecasting: A Case Study in Vietnam.

[BibT_eX]

[DOI]

Proceedings of the Computational Collective Intelligence - 16th International Conference, 2024

2023

An Approach to Semantic-Aware Heterogeneous Network Embedding for Recommender Systems.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., September, 2023

Mining inter-sequence patterns with Itemset constraints.

[BibT_eX]

[DOI]

Appl. Intell., September, 2023

Deep learning, graph-based text representation and classification: a survey, perspectives and challenges.

[BibT_eX]

[DOI]

Artif. Intell. Rev., June, 2023

An efficient topological-based clustering method on spatial data in network space.

[BibT_eX]

[DOI]

Expert Syst. Appl., April, 2023

Parallel approaches to extract multi-level high utility itemsets from hierarchical transaction databases.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

An efficient method for mining high occupancy itemsets based on equivalence class and early pruning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

A hierarchical fused fuzzy deep neural network with heterogeneous network embedding for recommendation.

[BibT_eX]

[DOI]

Inf. Sci., 2023

Efficient Pruning Strategy for Mining High Utility Quantitative Itemsets.

[BibT_eX]

[DOI]

Anh N. H. Pham

Proceedings of the Advances in Computational Collective Intelligence, 2023

Extracting Top-k High Utility Patterns from Multi-level Transaction Databases.

[BibT_eX]

[DOI]

Tuan M. Le

Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023

2022

Subgraph mining in a large graph: A review.

[BibT_eX]

[DOI]

WIREs Data Mining Knowl. Discov., 2022

ComGCN: Community-Driven Graph Convolutional Network for Link Prediction in Dynamic Networks.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2022

An efficient method for mining sequential patterns with indices.

[BibT_eX]

[DOI]

Nam Ngoc Pham

Knowl. Based Syst., 2022

Efficient mining of cross-level high-utility itemsets in taxonomy quantitative databases.

[BibT_eX]

[DOI]

Inf. Sci., 2022

An efficient parallel algorithm for mining weighted clickstream patterns.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Bot2Vec: A general approach of intra-community oriented representation learning for bot detection in different types of social networks.

[BibT_eX]

[DOI]

Inf. Syst., 2022

An efficient method for mining multi-level high utility Itemsets.

[BibT_eX]

[DOI]

Appl. Intell., 2022

An efficient and scalable approach for mining subgraphs in a single large graph.

[BibT_eX]

[DOI]

Appl. Intell., 2022

Updating the Result Ontology Integration at the Concept Level in the Event of the Evolution of Their Components.

[BibT_eX]

[DOI]

Marcin Pietranik

Mateusz Olsztynski

Proceedings of the Computational Collective Intelligence - 14th International Conference, 2022

Auto Machine Learning-Based Approach for Source Printer Identification.

[BibT_eX]

[DOI]

Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2022

2021

Con2Vec: Learning embedding representations for contrast sets.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

A method for efficient clustering of spatial data in network space.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2021

Efficient algorithms for mining closed high utility itemsets in dynamic profit databases.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2021

A Novel Approach for Mining Closed Clickstream Patterns.

[BibT_eX]

[DOI]

Bao Huynh

Cybern. Syst., 2021

A Method for Closed Frequent Subgraph Mining in a Single Large Graph.

[BibT_eX]

[DOI]

IEEE Access, 2021

Multi-Swarm Optimization for Extracting Multiple-Choice Tests From Question Banks.

[BibT_eX]

[DOI]

IEEE Access, 2021

Cross-Level High-Utility Itemset Mining Using Multi-core Processing.

[BibT_eX]

[DOI]

Proceedings of the Computational Collective Intelligence - 13th International Conference, 2021

An Efficient Approach for Mining High-Utility Itemsets from Multiple Abstraction Levels.

[BibT_eX]

[DOI]

Thiet Pham

Proceedings of the Intelligent Information and Database Systems - 13th Asian Conference, 2021

Mining Class Association Rules on Dataset with Missing Data.

[BibT_eX]

[DOI]

Hoang-Lam Nguyen

Proceedings of the Intelligent Information and Database Systems - 13th Asian Conference, 2021

2020

Efficient Algorithm for Mining Non-Redundant High-Utility Association Rules.

[BibT_eX]

[DOI]

Sensors, 2020

Efficient algorithms for mining clickstream patterns using pseudo-IDLists.

[BibT_eX]

[DOI]

Tzung-Pei Hong

Future Gener. Comput. Syst., 2020

Efficient methods for mining weighted clickstream patterns.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2020

Mining Maximal High Utility Itemsets on Dynamic Profit Databases.

[BibT_eX]

[DOI]

Cybern. Syst., 2020

Mining Correlated High Utility Itemsets in One Phase.

[BibT_eX]

[DOI]

IEEE Access, 2020

A Multi-Core Approach to Efficiently Mining High-Utility Itemsets in Dynamic Profit Databases.

[BibT_eX]

[DOI]

IEEE Access, 2020

An Efficient Method for Mining Closed Potential High-Utility Itemsets.

[BibT_eX]

[DOI]

IEEE Access, 2020

An N-List-Based Approach for Mining Frequent Inter-Transaction Patterns.

[BibT_eX]

[DOI]

IEEE Access, 2020

A Fast Algorithm for Mining Closed Inter-transaction Patterns.

[BibT_eX]

[DOI]

Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

Usability Study of Data Entry Design Patterns for Mobile Applications.

[BibT_eX]

[DOI]

Sebastian Waloszek

Patient Zihisire Muke

Proceedings of the Computational Collective Intelligence - 12th International Conference, 2020

Efficient Method for Mining Maximal Inter-transaction Patterns.

[BibT_eX]

[DOI]

Thanh-Ngo Nguyen

Nguyen Thi Thuy Loan

Proceedings of the Computational Collective Intelligence - 12th International Conference, 2020

Efficient Method for Mining High-Utility Itemsets Using High-Average Utility Measure.

[BibT_eX]

[DOI]

Proceedings of the Computational Collective Intelligence - 12th International Conference, 2020

A Method for Building Heterogeneous Ensembles of Regression Models Based on a Genetic Algorithm.

[BibT_eX]

[DOI]

Patient Zihisire Muke

Nguyen Thi Thuy Loan

Proceedings of the Computational Collective Intelligence - 12th International Conference, 2020

Sequential Pattern Mining Using IDLists.

[BibT_eX]

[DOI]

Nam Ngoc Pham

Nguyen Thi Thuy Loan

Proceedings of the Computational Collective Intelligence - 12th International Conference, 2020

Updating Ontology Alignment on the Instance Level Based on Ontology Evolution.

[BibT_eX]

[DOI]

Marcin Pietranik

Proceedings of the Database and Expert Systems Applications, 2020

2019

Mining high-utility itemsets in dynamic profit databases.

[BibT_eX]

[DOI]

Vincent S. Tseng

Knowl. Based Syst., 2019

Mining class association rules on imbalanced class datasets.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2019

An efficient method for mining high utility closed itemsets.

[BibT_eX]

[DOI]

Inf. Sci., 2019

An Efficient Algorithm for Mining Frequent Closed Inter- Transaction Patterns.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Mining Clickstream Patterns Using IDLists.

[BibT_eX]

[DOI]

Tzung-Pei Hong

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2018

ETARM: an efficient top-k association rule mining algorithm.

[BibT_eX]

[DOI]

Linh T. T. Nguyen

Ali Selamat

Appl. Intell., 2018

Efficient method for updating class association rules in dynamic datasets with record deletion.

[BibT_eX]

[DOI]

Appl. Intell., 2018

A Weighted Approach for Class Association Rules.

[BibT_eX]

[DOI]

Proceedings of the Modern Approaches for Intelligent Information and Database Systems,, 2018

2017

A method for mining top-rank-k frequent closed itemsets.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2017

An efficient approach for mining closed high utility itemsets and generators.

[BibT_eX]

[DOI]

Thang Mai

J. Inf. Telecommun., 2017

A lattice-based approach for mining high utility association rules.

[BibT_eX]

[DOI]

Thang Mai

Inf. Sci., 2017

Constraint-Based Method for Mining Colossal Patterns in High Dimensional Databases.

[BibT_eX]

[DOI]

Proceedings of the Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology - ISAT 2017, 2017

A Dynamic Packed Approach for Analytic Data Warehouse in Ad-Hoc Queries.

[BibT_eX]

[DOI]

Hung Son Nguyen

Sinh Hoa Nguyen

Proceedings of the Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology - ISAT 2017, 2017

An improved algorithm for mining frequent Inter-transaction patterns.

[BibT_eX]

[DOI]

Thanh-Ngo Nguyen

Proceedings of the IEEE International Conference on INnovations in Intelligent SysTems and Applications, 2017

An Improved Algorithm for Mining Top-k Association Rules.

[BibT_eX]

[DOI]

Linh T. T. Nguyen

Proceedings of the Advanced Computational Methods for Knowledge Engineering, 2017

Mining Class Association Rules with Synthesis Constraints.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Information and Database Systems - 9th Asian Conference, 2017

2016

Efficient mining of class association rules with the itemset constraint.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

A Quick Method for Querying Top-k Rules from Class Association Rule Set.

[BibT_eX]

[DOI]

Bogdan Trawinski

J. Univers. Comput. Sci., 2016

Mining closed high utility itemsets in uncertain databases.

[BibT_eX]

[DOI]

Proceedings of the Seventh Symposium on Information and Communication Technology, 2016

A new method for mining colossal patterns.

[BibT_eX]

[DOI]

Thanh-Long Nguyen

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

A Method for Query Top-K Rules from Class Association Rule Set.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

2015

A novel method for constrained class association rule mining.

[BibT_eX]

[DOI]

Inf. Sci., 2015

CARIM: an efficient algorithm for mining class-association rules with interestingness measures.

[BibT_eX]

[DOI]

Tzung-Pei Hong

Int. Arab J. Inf. Technol., 2015

An improved algorithm for mining class association rules using the difference of Obidsets.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2015

Updating mined class association rules for record insertion.

[BibT_eX]

[DOI]

Appl. Intell., 2015

Incremental Mining Class Association Rules Using Diffsets.

[BibT_eX]

[DOI]

Proceedings of the Advanced Computational Methods for Knowledge Engineering - Proceedings of 3rd International Conference on Computer Science, Applied Mathematics and Applications, 2015

2014

Mining Class Association Rules with the Difference of Obidsets.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Information and Database Systems - 6th Asian Conference, 2014

2013

CAR-Miner: An efficient algorithm for mining class-association rules.

[BibT_eX]

[DOI]