The Apriori Idea: Pruning 3-Item Sets Before You Count Them
This lesson is part of the course
In this lesson
You flag the frequent pairs, use them to keep or prune five candidate 3-item sets the way the Apriori algorithm does, and count the support of the candidates straight from the baskets.
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Lessons in this course
- Baskets as 0/1 Rows: Item Frequency and Support Locked
- Pair Support with SUMPRODUCT: the Co-Occurrence Matrix Locked
- Confidence A → B: How Often B Follows A Locked
- Lift: Is the Rule Better than Chance? Locked
- Leverage and Conviction: Size and Direction of a Rule Locked
- Filtering Rules by Minimum Support and Confidence, Ranking by Lift Locked
- The Apriori Idea: Pruning 3-Item Sets Before You Count Them Locked
- From Rules to Cross-Selling: Expected Uplift per Recommendation Locked