A purchasing manager wants to identify a strategy that may increase sales in her grocery stores

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Association Analysis:

A purchasing manager wants to identify a strategy that may increase sales in her grocery stores. Specifically, she is reevaluating product placement in the food section. For this task, she works on association analysis using product sales data from the food section. The data: Asso_product_English.csv The data set contains the sales data for 17 products including herring, beef, chicken, etc. in 99 transactions. These are in Excel CSV format, with the first line in the file listing the attribute names and each remaining line in the file giving the values of these attributes for a single transaction. Tips for data pre/processing:

1. You may need to use a total of 4 operators (processes). (No need to use ‘Select Attribute’ operator).

2. In Association Analysis, only Nominal (categorical and Non-Numeric scale) variables can be used.

3. You do not need to define a target variable (Label Attribute in RapidMiner).

4. In ‘FP-Growth’ operator, set the Parameter for min_support to 0.2. 5. In ‘Create Association Rule’ operator, set the Parameter for min_confidence to 0.5.   Outputs: 1. Association rules description and graph (screenshots) 2. Identify the Association rules in which Confidence = 1. 3. Answer the following questions in terms of Support, Confidence, and Lift (Be specific about the meanings of these 3 criteria): What are the good products to lay out for sale alongside of Soda? Why?

 

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