Frequent Itemsets and Association Rules Generation App

Overview

This Flask-based application allows users to upload a dataset, apply Apriori-based algorithms to generate frequent itemsets and association rules, and visualize the results. The app generates a bar plot and a PDF with the frequent itemsets and rules.

Features

• Supports multiple algorithms (classic Apriori, vertical fragment Apriori, and closed itemsets)
• User-specified minimum support, confidence, and lift thresholds
• Generates a bar plot of frequent itemsets
• Outputs association rules and itemsets in a downloadable PDF

File Structure

• app.py: The Flask application script.
• fct.py: Contains the algorithm functions.
• templates/: Contains HTML templates for rendering.
  • upload.html: File upload and parameter input form.
  • result.html: Displays the result, bar plot, and PDF download links.
• static/: Folder to store generated images and PDFs.
• frozensets.txt: Temporary file to store frequent itemsets and rules.
• frozensets.pdf: Generated PDF file with frequent itemsets and association rules.

Dependencies

• Flask
• Pandas
• Matplotlib
• ReportLab
• NumPy

You can install these dependencies via pip:

pip install flask pandas matplotlib reportlab numpy