How to ensure fairness and avoid bias in association rule mining outcomes

Aug 16, 2019 ... In this post, we will establish a basic workflow for association rule mining in R using the arules package. Jun 1, 2022 ... Abstract. This study presents a novel application of association rule data mining to determine the predictors of the response to locomotor ... Nov 7, 2014 ... I am trying to run association rule learner, I loaded all the data from CSV file with file reader and connected to BitVector, the output column vector is? Evolutionary insights from association rule mining of co-occurring mutations in influenza hemagglutinin and neuraminidase. Apr 17, 2025 ... What Is Association Rule Mining? Association rule mining in data mining is an unsupervised learning method that shows how different items or ... Abstract. Association rule mining (ARM) is a technique used to discover relationships among a large set of variables in a data set. It has been applied to ... May 17, 2018 ... I want to find frequent item sets with the itemset finder or/and the association rule learner. My problem is that they are generating “wrong” results. Dec 15, 2021 ... One of the well-known and commonly used association rule discovery data mining methods is the Apriori algorithm. The Association Rule and the ... Sep 4, 2015 ... Version 1.0.0.0 (6.88 KB) by Yarpiz / Mostapha Heris MATLAB implementation of Apriori for Association Rule Mining in Transactional Datasets. This article explains how to extract high-confidence rules, which are characterized by being true in a specified minimum percentage of the transactions being ...