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JMP® 13 – Association Rules and Visual Exploration

Matt Flynn, PhD, Senior Director, AIG Science

Mary Loveless, JMP Systems Engineer, SAS

 

Association rules are becoming a popular data mining technique for exploring relationships from large databases aiming to extract interesting correlation and relation among huge amounts of data. In the past, we examined association rules at JMP Discovery Summit via the great capabilities in JMP for connecting to external tools such as SAS and R. But JMP 13 now includes the capability to run association rules methods internally! We will demo this new functionality. Mining association rules often results in a very large number of found rules, leaving the analyst with the task to go through all the rules and discover interesting ones. We will use the interactive visualization and reports in JMP to sort through, select and communicate interesting rules.

Discovery Summit 2016 Resources

Discovery Summit 2016 is over, but it's not too late to participate in the conversation!

Below, you'll find papers, posters and selected video clips from Discovery Summit 2016.