How to ensure fairness in association rule mining What is the role of user feedback in association rule mining

At a basic level, association rule mining involves the use of machine learning models to analyze data for patterns, called co-occurrences, in a database. It ... 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 ... 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 ... If there is no rule to support the association, an error is returned. Containment rules do not support terminals and can be added to a utility network using the ... Mar 23, 2025 ... Depending on how the HOA is structured, either the board of directors, the owners of the homes, or another approved governing body will decide ... ABSTRACT. This paper proposes a fault-prone module prediction method that combines association rule mining with logistic regression analysis. In conclusion, association rule mining is a technique that discovers interesting relationships and patterns within large datasets. It involves identifying ... Sep 7, 2022 ... Discovering Long COVID Symptom Patterns: Association Rule Mining and Sentiment Analysis in Social Media Tweets Dec 20, 2024 ... Association rule mining is a data mining technique used to identify relationships or patterns among variables in large datasets, such as “If a ... Nov 29, 2023 ... In this paper, Enhanced Elephant Herding Optimization Algorithm for Association Rule Hiding (EEHOA4ARH) is proposed for association rule hiding.