Market Basket Analysis with FP-Growth Algorithm

Overview

This project implements Market Basket Analysis using the FP-Growth algorithm. The goal is to discover patterns and associations among items in a dataset of transactions, helping businesses make informed decisions.

Tech Stack

• MERN Stack:
  • MongoDB
  • Express.js
  • React
  • Node.js

Features

• FP-Growth Algorithm:

  • Efficient mining of frequent itemsets using the FP-Growth algorithm.
  • Association rule generation to discover interesting patterns.

• Interactive Frontend:

  • User-friendly interface built with React for visualizing and exploring analysis results.
  • Intuitive data representation and dynamic updates for a seamless user experience.

• Scalable Backend:

  • Robust Express.js backend to handle data processing and communication with the database.
  • MongoDB integration for storing and retrieving transactional data efficiently.