Weekly Data Science

Further Exploration of Association Rules

A quick proof on the interest of independent itemsets.

The Intuition Behind the Apriori Algorithm

Analyzing shopping trends is a pretty big deal in data science, and market-basket…

Hash Functions for Data Mining

Hash functions are fundamental in data mining. Understanding them is…

Finding Meaningful Associations in Retail Data

Digging into metrics that indicate relevance.

Memory usage of PCY vs. Apriori Algorithms

Finding the break-even point in terms of memory usage

Thanks for reading, Sarah!

Choosing a support threshold is contextual, and there are several things that may factor into the decision. Typically, the threshold is chosen so that the resulting number of frequent itemsets is both meaningful and manageable— whatever that may mean in your particular context.