1 / 12

Tutorial 4

Tutorial 4. Association rule mining. Goal: Find all rules that satisfy the user-specified minimum support ( minsup ) and minimum confidence ( minconf ). Assume all data are categorical. No good algorithm for numeric data.

hume
Download Presentation

Tutorial 4

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Tutorial 4

  2. Association rule mining • Goal: Find all rules that satisfy the user-specified minimum support (minsup) and minimum confidence(minconf). • Assume all data are categorical. • No good algorithm for numeric data. • Initially used for Market Basket Analysis to find how items purchased by customers are related.

  3. Association rule • An association rule is an implication of the form: X Y, where X, Y  I, and X Y =  • Then:

  4. The Apriori algorithm • The best known algorithm. • Two steps: • Find all itemsets that have minimum support (frequent itemsets, also called large itemsets). • Use frequent itemsets to generate rules.

  5. Example • Five transactions from a supermarket

  6. Minimum support • Minimum support=2/5= 40%

  7. example

  8. example Empty

  9. cont • Minimum support=2/5= 40% min confidence=70%

  10. Results • Egg  Butter Support: 60% confidence:75% • Butter  Egg Support: 60% confidence:75% • Milk  Egg Support: 40% confidence:100% • Baby Powder  Butter Support: 40% confidence:100%

  11. Insert the same example to weka. • Try the same example in Weka, insert marketing-list.csv

  12. Reference: • “Association Rules Apriori Algorithm”, https://dspace.ist.utl.pt/bitstream/2295/55704/1/licao_9.pdf

More Related