# A comprehensive review of visualization methods for association rule mining: Taxonomy, Challenges, Open problems and Future ideas

## TL;DR

This paper reviews various visualization techniques for association rule mining, discussing their features, applications, challenges, and future research directions to improve understanding of complex rule sets.

## Contribution

It provides a comprehensive taxonomy and analysis of existing visualization methods for association rule mining, highlighting open problems and future research opportunities.

## Key findings

- Identified key visualization techniques and their applications.
- Highlighted challenges and open problems in visualization methods.
- Suggested future research directions for improving association rule visualization.

## Abstract

Association rule mining is intended for searching for the relationships between attributes in transaction databases. The whole process of rule discovery is very complex, and involves pre-processing techniques, a rule mining step, and post-processing, in which visualization is carried out. Visualization of discovered association rules is an essential step within the whole association rule mining pipeline, to enhance the understanding of users on the results of rule mining. Several association rule mining and visualization methods have been developed during the past decades. This review paper aims to create a literature review, identify the main techniques published in peer-reviewed literature, examine each method's main features, and present the main applications in the field. Defining the future steps of this research area is another goal of this review paper.