Business Finance – Operations Management Assignment chapter 5


Leggere, an internet book retailer, is interested in better understanding the purchase decisions of its customers. For a set of 2,000 customer transactions, it has categorized the individual book purchases comprising those transactions into one or more of the following categories: Novels, Willa Bean series, Cooking Books, Bob Villa Do-It-Yourself, Youth Fantasy, Art Books, Biography, Cooking Books by Mossimo Bottura, Harry Potter series, Florence Art Books, and Titian Art Books. Leggere has conducted association rules analysis on this data set and would like to analyze the output. Based on a minimum support of 200 transactions and a minimum confidence of 50%, the table below shows the top 10 rules with respect to lift ratio.

Antecedent Consequent Support for A and C Confidence Lift Ratio

BotturaCooking Cooking 0.227 1.00 1.16

Cooking, BobVilla Art 0.205 0.54 1.12

Cooking, Art Biography 0.204 0.61 1.10

Cooking, Biography Art 0.204 0.53 1.10

Youth Fantasy Novels, Cooking 0.245 0.55 1.075

Cooking, Art BobVilla 0.205 0.61 1.055

Cooking, BobVilla Biography 0.218 0.58 1.04

Biography Novels, Cooking 0.293 0.53 1.035

Novels, Cooking Biography 0.293 0.57 1.035

Art Novels, Cooking 0.249 0.52 1.01