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 …
Performance analysis of multi-objective artificial intelligence optimization algorithms in numerical association rule mining
E Varol Altay, B Alatas - Journal of Ambient Intelligence and Humanized …, 2020 - Springer
Association rules mining (ARM) is one of the most popular tasks of data mining. Although
there are many effective algorithms run on binary or discrete-valued data for the problem of …
there are many effective algorithms run on binary or discrete-valued data for the problem of …
A survey on association rules mining using heuristics
SM Ghafari, C Tjortjis - Wiley Interdisciplinary Reviews: Data …, 2019 - Wiley Online Library
Association rule mining (ARM) is a commonly encountred data mining method. There are
many approaches to mining frequent rules and patterns from a database and one among …
many approaches to mining frequent rules and patterns from a database and one among …
Multi-objective PSO algorithm for mining numerical association rules without a priori discretization
V Beiranvand, M Mobasher-Kashani… - Expert systems with …, 2014 - Elsevier
In the domain of association rules mining (ARM) discovering the rules for numerical
attributes is still a challenging issue. Most of the popular approaches for numerical ARM …
attributes is still a challenging issue. Most of the popular approaches for numerical ARM …
[PDF][PDF] Association rule mining: A survey
J Kaur, N Madan - International Journal of Hybrid Information Technology, 2015 - Citeseer
Association Rule Mining (ARM) has been the area of interest for many researchers for a long
time and continues to be the same. It is one of the important tasks of data mining. It aims at …
time and continues to be the same. It is one of the important tasks of data mining. It aims at …
ARM–AMO: An efficient association rule mining algorithm based on animal migration optimization
Association rule mining (ARM) aims to find out association rules that satisfy predefined
minimum support and confidence from a given database. However, in many cases ARM …
minimum support and confidence from a given database. However, in many cases ARM …
MODENAR: Multi-objective differential evolution algorithm for mining numeric association rules
In this paper, a Pareto-based multi-objective differential evolution (DE) algorithm is
proposed as a search strategy for mining accurate and comprehensible numeric association …
proposed as a search strategy for mining accurate and comprehensible numeric association …
An efficient approach for mining association rules from high utility itemsets
Traditional association rule mining based on the support–confidence framework provides
the objective measure of the rules that are of interest to users. However, it does not reflect …
the objective measure of the rules that are of interest to users. However, it does not reflect …
An optimized FP-growth algorithm for discovery of association rules
M Shawkat, M Badawi, S El-ghamrawy… - The Journal of …, 2022 - Springer
Association rule mining (ARM) is a data mining technique to discover interesting
associations between datasets. The frequent pattern-growth (FP-growth) is an effective ARM …
associations between datasets. The frequent pattern-growth (FP-growth) is an effective ARM …
Differential evolution and sine cosine algorithm based novel hybrid multi-objective approaches for numerical association rule mining
In association rules mining from data that have numeric-valued attributes, automatically
adjusting the attribute intervals at the time of the mining process without a preprocess is very …
adjusting the attribute intervals at the time of the mining process without a preprocess is very …