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 the Analytic Solver Platform. 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 Analytic Solver. The data in this files is in binary matrix format meaning that each row indicates which iPad features and accessories a customer selected. In the Association Rules dialog box, enter 800 for Minimum support (# transactions): and 50 for Minimum confidence (%):. Select Data in binary matrix format.              QUESTION: What information does this analysis provide Cookie Monster regarding the online behavior of individuals?

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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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 the Analytic Solver Platform.

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 Analytic Solver. The data in this files is in binary matrix format meaning that each row indicates which iPad features and accessories a customer selected. In the Association Rules dialog box, enter 800 for Minimum support (# transactions): and 50 for Minimum confidence (%):. Select Data in binary matrix format.

        

 

  QUESTION: What information does this analysis provide Cookie Monster regarding the online behavior of individuals?
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