Cookie Monster Inc. is a company that specializes in the development of software that tracks web browsing history of individuals. A sample of browser histories is provided in the files CookieMonsterBinary and CookieMonsterStacked that indicate which websites were visited by which customers. Using binary matrix format, the entry in row i and column j indicates whether web site j was visited by user i. Refer to the Appendix for instructions on how to perform association rules using JMP Pro. Using a minimum support of 4% of the transactions (800 of the 20,000 total transactions) and a minimum confidence of 50% to generate a list of association rules. Review the top 14 rules. Use the files CookieMonsterBinary and CookieMonsterStacked to solve this problem using JMP Pro. In the Association Analysis – JMP Pro dialog box, set Minimum Support to 0.04, Minimum Confidence to 0.5 and leave the other parameters to their default values (Minimum Lift 1.2, Maximum Antecedents 3 and Maximum Rule Size 99). QUESTION: What information does this analysis provide Cookie Monster regarding the online behavior of individuals?
Cookie Monster Inc. is a company that specializes in the development of software that tracks web browsing history of individuals. A sample of browser histories is provided in the files CookieMonsterBinary and CookieMonsterStacked that indicate which websites were visited by which customers. Using binary matrix format, the entry in row i and column j indicates whether web site j was visited by user i. Refer to the Appendix for instructions on how to perform association rules using JMP Pro.
Using a minimum support of 4% of the transactions (800 of the 20,000 total transactions) and a minimum confidence of 50% to generate a list of association rules. Review the top 14 rules.
Use the files CookieMonsterBinary and CookieMonsterStacked to solve this problem using JMP Pro. In the Association Analysis – JMP Pro dialog box, set Minimum Support to 0.04, Minimum Confidence to 0.5 and leave the other parameters to their default values (Minimum Lift 1.2, Maximum Antecedents 3 and Maximum Rule Size 99).
QUESTION: What information does this analysis provide Cookie Monster regarding the online behavior of individuals?
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