Exploratory data mining:

A flask based web application which enables users to upload custom csv based datasets and run various data mining algorithms on it. As of now the following techniques are implemented:

• Association rule mining :
  • Apriori algorithm
  • Force directed plot
  • Parallel cordinates plot
• Clustering algorithms :
  • Agglomerative
  • DBSCAN
  • K-means
  • K-modes
  • K-prototypes

Installing dependencies:

1. cd into the root directory of the project.
2. Run pip3 install -r requirements.txt

Steps to run:

1. Setup environment

• cd into root directory of the project
• Generate a SECRET_KEY by running the following commands in python:

>>> import os
>>> os.urandom(24)
'\xfd{H\xe5<\x95\xf9\xe3\x96.5\xd1\x01O<!\xd5\xa2\xa0\x9fR"\xa1\xa8'

• Create a file .env and paste the following content into it:

FLASK_ENV=development
UPLOAD_FOLDER='./uploads/dataset'
SECRET_KEY='paste the generated key here'

2. Run the flask app

• cd into the root directory of the project
• Run python3 project.py

Outcome: The web app will run on 0.0.0.0:5000

Libraries

• PyClustering - Andrei Novikov
• Apyori - Yu Mochizuki
• KModes - Nico de Vos