This project aims to implement the Equivalence Class Transformation (Eclat) algorithm to help avoid stockouts at Mitra Pet Shop. The project is developed as a web application using PHP and MySQL.
Stockouts are a common issue faced by many businesses, including pet shops. To address this problem, a system is needed that can predict stock requirements based on previous purchasing patterns. The Eclat algorithm is an effective data mining algorithm for finding associations or frequent patterns in transaction data. By using Eclat, we can identify combinations of products that are often purchased together and assist in inventory management.
Key Features
Purchase Pattern Analysis: Uses the Eclat algorithm to analyze customer purchase patterns.
Stock Requirement Prediction: Provides recommendations on products that need to be prepared to avoid stockouts.
Data Management: Stores and manages transaction and inventory data using MySQL.
User Interface: A user-friendly web interface for entering transaction data and viewing analysis results.
Technologies Used
PHP 8: Used for application logic and server-side management.
MySQL: Used to store transaction data and analysis results.
HTML/CSS/JavaScript: Used for developing the user interface.
Project Structure
index.php: The main page of the application.
eclat.php: The file containing the Eclat algorithm implementation logic.
database.sql: The SQL file to create and populate database tables.
assets/: Folder containing CSS, JavaScript, and image files.
Contribution
Contributions are welcome! Please open an issue for discussion or submit a pull request for improvements or new features.
License
This project is licensed under the MIT License
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