Question

 Retail Store Transaction with attributes: Transaction ID, Customer ID, Item Purchased, Product Category, Quantity, Day of Purchase, and Payment Mode. You may create a retail file or any in-built retail.arff file can be used.

30 Jul 2026
Answer :
Word Count : 591
A retail store transaction dataset is a structured collection of purchase records used for data mining, customer behavior analysis, and business decision-making. In the context of Computer Networks and Data Mining, such datasets are often stored in databases connected through networked systems, allowing multiple branches of a retail chain to collect, share, and analyze transaction data in real time. A retail file may be created manually or an in-built dataset such as retail.arff can be used in data mining tools like WEKA. The retail transaction dataset consists of the following attributes: * Transaction ID: A unique identifier assigned to every purchase transaction. * Customer ID: Identifies the customer who made the purchase and helps in customer profiling and loyalty analysis. * Item Purchased: The name or code of the product bought by the customer. * Product Category: Groups products into categories such as Grocery, Electronics, Clothing, Home Appliances, or Stationery. * Quantity: Indicates the number of units purchased in a transaction. * Day of Purchase: Represents the day on which the purchase occurred, such as Monday, Tuesday,
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