Frequent Pattern Analysis involves identifying patterns, associations, or correlations within datasets.Association Rule Mining is a data mining technique used to discover relationships between variables.Association rules indicate associations between items or events based on their co-occurrence.Frequent Pattern Analysis and Association Rule Mining have wide-ranging applications but face challenges like scalability and interpretability.