Apriori Algorithm and Association Rules
Explore the Apriori Algorithm and association rule mining to identify frequent itemsets and relationships within datasets. Understand key evaluation metrics such as support, confidence, and lift, and see how these concepts apply in market basket analysis and other fields.
Association Rule Mining
Association Rule Mining helps us find rules and relationships in the dataset. It works for both relational databases and transactional databases. It is also used to find the correlated features with each other. An association rule has two parts: antecedent and consequent. An antecedent is found in the dataset at hand ...