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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.