BDA 3

Association Rules provide insights into ________ relationships in data.

The ________ algorithm is widely used for mining association rules.

The apriorism algorithm uses ________ to generate frequent itemsets.

Evaluation of candidate rules includes metrics like ________ and ________.

Association Rules have applications in market ________ and ________ analysis.

Finding association rules is a technique for uncovering ________ patterns in data.

Similarity measures help quantify the ________ between data points.

Collaborative recommendation relies on ________ data for making suggestions.

Content-based recommendation suggests items based on ________ features.

Knowledge-based recommendation utilizes ________ about user preferences.