‘This assignment uses the “Twitter” Excel file. It contains information about 13 Twitter accounts. Each row in the dataset represents one active Twitter user. A 1 indicates that the user follows the account in that column. Import the data set into RapidMiner. Do not change any of the attributes’ types or roles when importing. 1. Build a process that creates a set of association rules for this dataset using a minimum support of 0.04 and a minimum confidence of 0.1. Show a screenshot of the Process panel. 2. Run the process and sort the association rules from highest support to lowest support. Show a screenshot of the list of rules. (You do not need to show all of them but at least the first 10 must be visible.) 3. What is the rule with the highest confidence? How would you interpret the confidence of that rule? 4. What is the lift ratio (“lift”) of the rule “if FootballTalk BaseballNews then Investorettes”? How would you interpret the lift ratio of this rule? 5. A few of the rules in the list have lift ratios that are less than 1. For instance “if TVWatcher then Investorettes” has a lift ratio of 0.701. What does that tell you about the relationship between those two Twitter accounts? Please follow all the requirements and save this assignment as a WORLD file after you finished. The Twitter excel document is attached below. Requirements: 3 pages | .doc file ‘
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