Introduction to association rule learning in R with the arules package

By: Alexander Mueller

The famous application of association rule learning is discovering the interesting 'beer and diapers' relationships in large point-of-sale databases, and it is generally an interesting tool for datasets that are very large, thick or resistant to being structured in a rigidly tabular format. I will provide a gentle, very R-specific introduction to association rule learning and the 'arules' package. Although I will give some general background on association rule learning in general, the focus of the talk will be on practical issues specific to R including elaboration on wrangling data, typing issues, managing the demands of large datasets, and visualizations available for interpretation of results.

The meetup will be held in the CIC building at 20 South Sarah Street, St. Louis, MO 63108. We will be in the Showroom. The building entrance is at the corner of Forest Park Avenue and Sarah Street. You can find directions at http://stl.cic.us/directions/ (CIC@CET).

We will meet for snacks, set-up, and conversation at 6:00PM. The presentation will start at 6:30PM and will be about 60 minutes long.