Association Rules for Bookstore Transactions. Leggere, an Internet book retailer, is interested in better understanding the purchase decisions of its customers. For a set of 1,604 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 10% and a minimum confidence of 50%, the table below shows the top 10 rules with respect to lift ratio. LO 7Explain why the fourth rule on the list is not helpful although it has 100% confidence and lift ratio of 1.861.Explain how the confidence of 55.6% and lift ratio of 1.851 was computed for the rule "If a customer buys a novel, a cooking book, and a biography book, then they buy an art book." Interpret these quantities.Based on these top 10 rules, what general insight can Leggere gain on the purchase habits of these customers?What will be the effect on the rules generated if Leggere decreases the minimum support and reruns the association rules analysis?What will be the effect on the rules generated if Leggere decreases the minimum confidence and reruns the association rules analysis? 25. Association Rules for Bookstore Transactions. Leggere, an Internet book retailer, isinterested in better understanding the purchase decisions of its customers. For a set of1,604 customer transactions, it has categorized the individual book purchases compris-ing those transactions into one or more of the following categories: Novels, Willa Beanseries, Cooking Books, Bob Villa Do-It-Yourself, Youth Fantasy, Art Books, Biography,Cooking Books by Mossimo Bottura, Harry Potter series, Florence Art Books, and TitianArt Books. Leggere has conducted association rules analysis on this data set and wouldlike to analyze the output. Based on a minimum support of 10% and a minimum confi-dence of 50%, the table below shows the top 10 rules with respect to lift ratio. LO 7a. Explain why the fourth rule on the list is not helpful although it has 100% confidenceand lift ratio of 1.861.b. Explain how the confidence of 55.6% and lift ratio of 1.851 was computed for therule "If a customer buys a novel, a cooking book, and a biography book, then theybuy an art book." Interpret these quantities.c. Based on these top 10 rules, what general insight can Leggere gain on the purchasehabits of these customers?d. What will be the effect on the rules generated if Leggere decreases the minimumsupport and reruns the association rules analysis?e. What will be the effect on the rules generated if Leggere decreases the minimumconfidence and reruns the association rules analysis?

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Association Rules for Bookstore Transactions. Leggere, an Internet book retailer, is interested in better understanding the purchase decisions of its customers. For a set of 1,604 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 10% and a minimum confidence of 50%, the table below shows the top 10 rules with respect to lift ratio. LO 7 Explain why the fourth rule on the list is not helpful although it has 100% confidence and lift ratio of 1.861. Explain how the confidence of 55.6% and lift ratio of 1.851 was computed for the rule "If a customer buys a novel, a cooking book, and a biography book, then they buy an art book." Interpret these quantities. Based on these top 10 rules, what general insight can Leggere gain on the purchase habits of these customers? What will be the effect on the rules generated if Leggere decreases the minimum support and reruns the association rules analysis? What will be the effect on the rules generated if Leggere decreases the minimum confidence and reruns the association rules analysis?

Principles Of Marketing

17th Edition

ISBN:9780134492513

Author:Kotler, Philip, Armstrong, Gary (gary M.)

Publisher:Kotler, Philip, Armstrong, Gary (gary M.)

Chapter1: Marketing: Creating Customer Value And Engagement

Section: Chapter Questions

Problem 1.1DQ

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Association Rules for Bookstore Transactions. Leggere, an Internet book retailer, is interested in better understanding the purchase decisions of its customers. For a set of 1,604 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 10% and a minimum confidence of 50%, the table below shows the top 10 rules with respect to lift ratio. LO 7

Explain why the fourth rule on the list is not helpful although it has 100% confidence and lift ratio of 1.861.
Explain how the confidence of 55.6% and lift ratio of 1.851 was computed for the rule "If a customer buys a novel, a cooking book, and a biography book, then they buy an art book." Interpret these quantities.
Based on these top 10 rules, what general insight can Leggere gain on the purchase habits of these customers?
What will be the effect on the rules generated if Leggere decreases the minimum support and reruns the association rules analysis?
What will be the effect on the rules generated if Leggere decreases the minimum confidence and reruns the association rules analysis?

25. Association Rules for Bookstore Transactions. Leggere, an Internet book retailer, is
interested in better understanding the purchase decisions of its customers. For a set of
1,604 customer transactions, it has categorized the individual book purchases compris-
ing 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 10% and a minimum confi-
dence of 50%, the table below shows the top 10 rules with respect to lift ratio. LO 7
a. Explain why the fourth rule on the list is not helpful although it has 100% confidence
and lift ratio of 1.861.
b. Explain how the confidence of 55.6% and lift ratio of 1.851 was computed for the
rule "If a customer buys a novel, a cooking book, and a biography book, then they
buy an art book." Interpret these quantities.
c. Based on these top 10 rules, what general insight can Leggere gain on the purchase
habits of these customers?
d. What will be the effect on the rules generated if Leggere decreases the minimum
support and reruns the association rules analysis?
e. What will be the effect on the rules generated if Leggere decreases the minimum
confidence and reruns the association rules analysis?

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