Growing and Visualizing Prediction Paths Trees in Market Basket Analysis

This paper provides a new approach to Market Basket Analysis taking as measure unit the monetary value of each choice in the transaction. Furthermore, instead of association rules suitable prediction rules are defined in order to consider the causal links between different items. Two methodologies will be presented in order to grow predictive paths through an oriented graphs (either trees and neural networks) which facilitates the visual comparison among different basket typologies.