8 Apriori Association Rules



Package: edsight.

A fundamental analysis that defined data mining in the 1990’s was association analysis. Here we illustrate the concept in 5 minutes, This MLHub package demonstrates both basket analysis and association rule generation based on Christian Borgelt’s 2004 Apriori implementation https://borgelt.net/apriori.html.

The edsight package provides the functionality in the context of education analytics. For our purposes we rename the installed package as apriori.

To install, configure, and demonstrate the package (noting the use of rename here):

ml install   anusii/edsight
ml rename    edsight apriori
ml configure apriori
ml readme    apriori
ml commands  apriori
ml demo      apriori

In addition to the demo command the package also supports itemsets, train, and predict.

Your donation will support ongoing availability and give you access to the PDF version of this book. Desktop Survival Guides include Data Science, GNU/Linux, and MLHub. Books available on Amazon include Data Mining with Rattle and Essentials of Data Science. Popular open source software includes rattle, wajig, and mlhub. Hosted by Togaware, a pioneer of free and open source software since 1984. Copyright © 1995-2022 Graham.Williams@togaware.com Creative Commons Attribution-ShareAlike 4.0