In data mining, finding an affinity of two products to be commonly together in a shopping cart is known as
A) association rule mining.
B) cluster analysis.
C) decision trees.
D) artificial neural networks.

Question

Quizplus · Accepted Answer

Association rule mining is used to find the correlation between two or more items present in a shopping cart, which means it helps in finding the affinity of two products to be commonly purchased together. Cluster analysis is used to find groups in data, decision trees are used for prediction and classification, and artificial neural networks are used for pattern recognition and classification.

In Data Mining, Finding an Affinity of Two Products to Be