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.
Growing and Visualizing Prediction Paths Trees in Market Basket Analysis / Aria, Massimo; Mola, F; Siciliano, Roberta. - (2002), pp. 377-382. (Intervento presentato al convegno 15th Symposium Held of IASC nel August 24-28, 2002) [10.1007/978-3-642-57489-4_56].
Growing and Visualizing Prediction Paths Trees in Market Basket Analysis
ARIA, MASSIMO;SICILIANO, ROBERTA
2002
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.