Hai V. Duong

Orcid: 0000-0002-4065-8566

According to our database1, Hai V. Duong authored at least 26 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Efficient mining of concise and informative representations of frequent high utility itemsets.
Eng. Appl. Artif. Intell., November, 2023

High Average-Utility Itemset Mining with A Novel Vertical Weak Upper Bound.
Proceedings of the International Conference on Computing and Communication Technologies, 2023

MFG-HUI: An Efficient Algorithm for Mining Frequent Generators of High Utility Itemsets.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2023

Controlling LIME Kernel Width to Achieve Comprehensible Explanations on Tabular Data.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2023

2022
Efficient algorithms for mining closed and maximal high utility itemsets.
Knowl. Based Syst., 2022

H-FHAUI: Hiding frequent high average utility itemsets.
Inf. Sci., 2022

Mining interesting sequences with low average cost and high average utility.
Appl. Intell., 2022

Frequent high minimum average utility sequence mining with constraints in dynamic databases using efficient pruning strategies.
Appl. Intell., 2022

Pattern Mining: Current Challenges and Opportunities.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2022 International Workshops, 2022

2021
Efficient algorithms for mining frequent high utility sequences with constraints.
Inf. Sci., 2021

Mining High Utility Sequences with a Novel Utility Function.
Proceedings of the 13th International Conference on Knowledge and Systems Engineering, 2021

2020
Fast generation of sequential patterns with item constraints from concise representations.
Knowl. Inf. Syst., 2020

EHAUSM: An efficient algorithm for high average utility sequence mining.
Inf. Sci., 2020

2019
Efficient Vertical Mining of High Average-Utility Itemsets Based on Novel Upper-Bounds.
IEEE Trans. Knowl. Data Eng., 2019

Efficient high average-utility itemset mining using novel vertical weak upper-bounds.
Knowl. Based Syst., 2019

FMaxCloHUSM: An efficient algorithm for mining frequent closed and maximal high utility sequences.
Eng. Appl. Artif. Intell., 2019

An Explicit Relationship Between Sequential Patterns and Their Concise Representations.
Proceedings of the Big Data Analytics - 7th International Conference, 2019

2018
Efficient algorithms for simultaneously mining concise representations of sequential patterns based on extended pruning conditions.
Eng. Appl. Artif. Intell., 2018

2017
FCloSM, FGenSM: two efficient algorithms for mining frequent closed and generator sequences using the local pruning strategy.
Knowl. Inf. Syst., 2017

2016
Structure of frequent itemsets with extended double constraints.
Vietnam. J. Comput. Sci., 2016

2015
An efficient method for mining association rules based on minimum single constraints.
Vietnam. J. Comput. Sci., 2015

2014
An efficient method for mining frequent itemsets with double constraints.
Eng. Appl. Artif. Intell., 2014

2013
An Efficient Algorithm for Mining Frequent Itemsets with Single Constraint.
Proceedings of the Advanced Computational Methods for Knowledge Engineering, 2013

2012
Mining Association Rules Restricted on Constraint.
Proceedings of the 2012 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), Ho Chi Minh City, Vietnam, February 27, 2012

Mining Frequent Itemsets with Dualistic Constraints.
Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

2011
Efficient Algorithms for Mining Frequent Itemsets with Constraint.
Proceedings of the Third International Conference on Knowledge and Systems Engineering, 2011


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