Mining association rules, a form of frequent pattern mining, is a widely useddata mining technique. The idea is to discover interesting relations between variables in large databases. This talk will introduce the basic conceptsbehind association rule mining and how these concepts are implemented in the Rpackage arules. We will talk about preparing data, mining rules and analyzingthe results, including visualization. I will use example code throughout thepresentation which can be easily adapted to data mining problems you might havein mind. As a case study, I will show how to mine a real data set containingdata from the Stop-Question-and-Frisk program in New York City.
When: Feb. 28 10am-12pm
Who: Michael Hahsler (http://www.meetup.com/Dallas-R-Users-Group/members/32710172/)
Assistant Professor, Lyle School of Engineering, SMU. Creator of the R packages: arules, rRDP, seriation, stream, TSP
Parking is located at Lot A on the UD campus next to the Bell Tower.