Learning Data Mining with Python - Second Edition

Overall methodology

To perform association rule mining for affinity analysis, we first use the Apriori algorithm to generate frequent itemsets. Next, we create association rules (for example, if a person recommended movie X, they would also recommend movie Y) by testing combinations of premises and conclusions within those frequent itemsets.

1. For the first stage, the Apriori algorithm needs a value for the minimum support that an itemset needs to be considered frequent. Any itemsets with less support will not be considered.

Setting this minimum support too low will cause Apriori to test a larger number of itemsets, slowing the algorithm down. Setting it too high will result in fewer itemsets being considered frequent.

2. In the second stage, ...