Association rule mining can be performed on databases that contain a large numbe

Question

Association rule mining can be performed on databases that contain a large number of transaction records. I am an extreme creature of habit when it comes to my grocery shopping. I shop every Monday at 3:45 p.m. at my local Food Lion. I purchase the following items: a bottle of Joel Gott Cabernet (always), kosher dill pickle spears (always), Texas Pete hot sauce (50% of visits), and a 20-pack of 6-inch corn tortillas (25% of visits).

Which of the following rules and confidence calculations are always correct? (Multiple selections are possible.)

A.) Rule 1: If item Joel Gott Cabernet = is purchased, then this implies item Texas Pete hot sauce is also purchased. This rule has a confidence of 100%.

Explanation / Answer

only rule 1 applicable always.. because

Texas Pete hot sauce (50% of visits), and a 20-pack of 6-inch corn tortillas (25% of visits).

and it have 50% of 75% of non purchase.

but remain a bottle of Joel Gott Cabernet (always), kosher dill pickle spears (always) alwyas purchased

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