Association Rule Mining Using Regression Algorithm to Predict Customer Behavior in Fruit and Vegetable Department

Author
Muvunde, Ephraim
Title
Association Rule Mining Using Regression Algorithm to Predict Customer Behavior in Fruit and Vegetable Department
Abstract
The operation of businesses and organizations depends heavily on computers and software. With the aid of software, enormous amounts of data are produced. It is necessary to evaluate these enormous databases to find insightful data that can help businesses, organizations, and even individuals make better decisions. An approach that helps meet this criterion is data mining. The goal of data mining is to find hidden patterns in massive amounts of data that were previously undiscovered by applying mathematical, statistical, and machine learning approaches.
Date
2023
Publisher
BUSE
Keywords
Association Rule Mining
Customer Behavior
Fruit and Vegetable
Supervisor
N/A
Item sets
Department of Computer Science
Media
Computer Sc. Muvunde.pdf

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