Practical Predictive Analytics

Generating many rules

If you wish to generate as many rules as possible, set support and confidence to a very low number:

 

many_rules <- apriori(trans4, parameter = list(minlen = 1, support = 0.01, confidence = 0.01)) > Apriori >  > Parameter specification: > confidence minval smax arem aval originalSupport support minlen maxlen > 0.01 0.1 1 none FALSE TRUE 0.01 1 10 > target ext > rules FALSE >  > Algorithmic control: > filter tree heap memopt load sort verbose > 0.1 TRUE TRUE FALSE TRUE 2 TRUE >  > Absolute minimum support count: 136  >  > set item appearances ...[0 item(s)] done [0.00s]. > set transactions ...[13 item(s), 13617 transaction(s)] done [0.00s]. > sorting and recoding items ... [13 item(s)] done [0.00s]. > creating transaction ...