Learning Data Mining with Python - Second Edition

Summary

In this chapter we performed affinity analysis in order to recommend movies based on a large set of reviewers. We did this in two stages. First, we found frequent itemsets in the data using the Apriori algorithm. Then, we created association rules from those itemsets.

The use of the Apriori algorithm was necessary due to the size of the dataset. In Chapter 1, Getting Started With Data Mining, we used a brute-force approach, which has exponential growth in the time needed to compute those rules required for a smarter approach. This is a common pattern for data mining: we can solve many problems in a brute force manner for small datasets, but smarter algorithms are required to apply the concepts to larger datasets.

We performed training ...