Support(x)=  p(x)

Support(y)=  p(y)

Support(x=>y)=  p(x and y)

Confidence(x=>y)=  f(x and y)/f(x) = p(x and y)/p(x)=  p(y|x)

Lift(x=>y)=  p(x and y)/p(x)×p(y)=  p(y|x)p(y)

 

 

p(x and y) <= p(x)

p(x and y) <= p(y)

p(x and y) <     p(x and y) /p(x)

p(x and y) <     p(x and y) /p(y)

p(x and y) <     p(x and y) /(p(x)p(y))

Topic	Access
A Gentle Introduction on Market Basket Analysis — Association Rules	https://towardsdatascience.com/a-gentle-introduction-on-market-basket-analysis-association-rules-fa4b986a40ce
Complete guide to Association Rules (1/2)	https://towardsdatascience.com/association-rules-2-aa9a77241654
Complete guide to Association Rules (1/2)	https://www.kdnuggets.com/2016/04/association-rules-apriori-algorithm-tutorial.html
Association rule learning	https://en.wikipedia.org/wiki/Association_rule_learning#cite_note-measurescomp-10
Market basket analysis for Business Analytics (20 min)	https://www.youtube.com/watch?v=jAPDu9pR5aw
Association Rules or Market Basket Analysis (10 min)	https://www.youtube.com/watch?v=91CmrpD-4Fw&

 

Articles

A Gentle Introduction on Market Basket Analysis — Association Rules Exercises in R

https://towardsdatascience.com/a-gentle-introduction-on-market-basket-analysis-association-rules-fa4b986a40ce