A survey of evolutionary computation for association rule mining
Abstract Association Rule Mining (ARM) is a significant task for discovering frequent patterns
in data mining. It has achieved great success in a plethora of applications such as market …
in data mining. It has achieved great success in a plethora of applications such as market …
Metaheuristics for frequent and high-utility itemset mining
Metaheuristics are often used to solve combinatorial problems. They can be viewed as
general purpose problem-solving approaches based on stochastic methods, which explore …
general purpose problem-solving approaches based on stochastic methods, which explore …
GBSO-RSS: GPU-based BSO for rules space summarization
In this paper, we present a novel GBSO-RSS algorithm to deal with exploration and mining
of association rules in big data, with the big challenge of increasing computation time. The …
of association rules in big data, with the big challenge of increasing computation time. The …
Web page prediction using genetic algorithm and logistic regression based on weblog and web content features
R Gangurde, B Kumar - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
As website users are increasing day by day, user behaviour analysis for improving the
website performance attracts many researchers. This paper introduces the web page …
website performance attracts many researchers. This paper introduces the web page …
Discovering strong meta association rules using bees swarm optimization
For several applications, association rule mining produces an extremely large number of
rules. Analyzing a large number of rules can be very time-consuming for users. Therefore …
rules. Analyzing a large number of rules can be very time-consuming for users. Therefore …
[PDF][PDF] Association rules mining in massive datasets: an application to polypharmacy detection
T Berteloot - 2023 - corpus.ulaval.ca
This work is part of a larger project regarding the detection of potentially inappropriate
polypharmacy leading to negative health effects in Quebec seniors. Polypharmacy is most …
polypharmacy leading to negative health effects in Quebec seniors. Polypharmacy is most …
Single scan polynomial algorithms for frequent itemset mining in big databases
Y Djenouri, D Djenouri, JCW Lin… - 2019 IEEE Congress …, 2019 - ieeexplore.ieee.org
This paper considers frequent itemset mining in big transactional databases. It first
introduces a novel approach (Bio-SS) that combines the bio-inspired algorithms with the …
introduces a novel approach (Bio-SS) that combines the bio-inspired algorithms with the …
GBSO-RSS: GPU-Based BSO for Rules Space Summarization
P Fournier-Viger - Big Data Analysis and Deep Learning …, 2018 - books.google.com
In this paper, we present a novel GBSO-RSS algorithm to deal with exploration and mining
of association rules in big data, with the big challenge of increasing computation time. The …
of association rules in big data, with the big challenge of increasing computation time. The …