Association Rule Mining: Models and Algorithms

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Explainable and Interpretable Models in Computer Vision and Machine Learning (2017, background): “Arguably the best-known descriptive approach are association rules (Goethals 2005; Hipp et al. 2000; Zhang and Zhang 2002), which relate properties of the data in the body of the rule to other properties in the head of the rule.”
Mining Electronic Health Records: A Survey (2017, methodology): “Descritive Atemporal [Dunteman 1989; Zhang and Zhang 2002; Cao et al. 2005; Holmes et al. 2011; Zhang et al. 2014a; Hanauer et al. 2009; Hanauer et al. 2013; Gotz 2016; Gotz and Stavropoulos 2014; West et al. 2015; Monsen et al. 2010; Monsen et al. 2015] Descritive Temporal [Hanauer and…”
Visualizing Big Data with augmented and virtual reality: challenges and research agenda (2015, background): “Association rule learning [82, 83] is set of techniques designed to detect valuable relationships or association rules among variables in databases.”
A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems With Genetic Rule Selection and Lateral Tuning (2011, background): “Association rules are used to represent and identify dependencies between items in a database [11], [20].”