Question

Which of the following is true of association rule mining?

Group of answer choices

1. It seeks to classify a categorical outcome into one of two or more categories.

2. It develops analytic models to describe the relationship between metrics that drive business performance.

3. It identifies attributes that occur frequently together in a given data set.

4. It is a data reduction technique that reduces large information into smaller heterogeneous groups.

Answer 1

Association rule mining is unsupervised machine learning algorithm which is used to find frequent patterns, correlations, associations, or causal structures in the data set. It identifies attributes that occur frequently together in the dataset. Such as we have dataset where we have the information about individual buying certain item in a grocery store. We can draw information from that dataset that a individual buy which type of items together using this algorithm . What is the relation between buying two item like bread and jam , etc. Thus it identifies attribute that occur frequently together

Option (3) is correct.