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CAIS 4 3 2 : Data Mining Assignment 3 Discovering Association Rules with Apriori Algorithm Objective: The goal of this assignment is to implement the
CAIS: Data Mining Assignment Discovering Association Rules with Apriori Algorithm Objective: The goal of this assignment is to implement the Apriori algorithm to discover association rules within a grocery store dataset. Students will gain handson experience in data mining and association rule learning. Dataset: Use the following grocery store transaction dataset: Transaction : Chips, Soda, Ice Cream Transaction : Soda, Cookies, Dip Transaction : Chips, Cookies, Ice Cream Transaction : Chips, Soda, Cookies Transaction : Chips, Soda, Ice Cream Transaction : Chips, Soda, Cookies, Dip Transaction : Chips, Cookies, Dip Transaction : Cookies, Ice Cream Transaction : Soda, Dip Transaction : Chips, Soda, Cookies, Ice Cream Set a minimum support threshold eg and identify frequent itemsets. Generate Association Rules: Set a minimum confidence threshold eg and use the frequent itemsets to generate association rules. Interpretation and Analysis: Analyze the generated association rules. Provide insights into the relationships between different items based on the rules. Documentation: Document the entire process, including explanations of parameter choices, and the interpretation of results.
CAIS: Data Mining
Assignment
Discovering Association Rules with Apriori Algorithm
Objective:
The goal of this assignment is to implement the Apriori algorithm to discover association rules within a grocery store dataset. Students will gain handson experience in data mining and association rule learning.
Dataset:
Use the following grocery store transaction dataset:
Transaction : Chips, Soda, Ice Cream
Transaction : Soda, Cookies, Dip
Transaction : Chips, Cookies, Ice Cream
Transaction : Chips, Soda, Cookies
Transaction : Chips, Soda, Ice Cream
Transaction : Chips, Soda, Cookies, Dip
Transaction : Chips, Cookies, Dip
Transaction : Cookies, Ice Cream
Transaction : Soda, Dip
Transaction : Chips, Soda, Cookies, Ice Cream
Set a minimum support threshold eg and identify frequent itemsets.
Generate Association Rules:
Set a minimum confidence threshold eg and use the frequent itemsets to generate association rules.
Interpretation and Analysis:
Analyze the generated association rules.
Provide insights into the relationships between different items based on the rules.
Documentation:
Document the entire process, including explanations of parameter choices, and the interpretation of results.
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