MBA

Market Basket Analysis (MBA) using the Apriori algorithm — JavaScript implementation for browser environments.

Overview

This project demonstrates Market Basket Analysis using the Apriori algorithm.
It is written in pure JavaScript and runs directly in the browser without requiring Node.js or npm.

Features

• Apriori algorithm for mining frequent itemsets and association rules
• Uses external libraries loaded directly via CDN or included scripts
• Loads transaction data from CSV file or in-memory arrays
• Simple web interface (index.html) for experimentation and learning

Installation & Usage

Simply clone the repository and open the index.html file in your web browser:

git clone https://github.com/grzesiekmq/MBA.git

Then open MBA/index.html in your browser — no setup or build step required.

Dependencies

Dependencies are loaded directly in index.html via CDN or included locally:

js-combinatorics (or others if used)

All necessary scripts are linked or embedded in index.html

Project Structure

MBA/ ├── index.html # Main web interface ├── app.js # Apriori logic and UI handling ├── transactions.csv # Sample transaction data └── README.md

Status

Educational prototype, not optimized for large datasets.

License

MIT

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README assisted by ChatGPT.