This is a flask app developed in order to manage data and through LookBack Apriori Algorithm creates a set of rules to match a user query.
The application is based on LAL, this algorithm is an extension with time of classic Apriori Algorithm. It's a data mining techniques to analyze big datasets. We simulate that the data (Data/) coming from fitbit.
This project represents the server and in the future it will connected through API with Database and mobile Application.
To develop application i used VisualStudio code and powershell integrated. The language to handle data and creates algorithm is Python.
I used a Flask because it's a Python module that lets me develop web application easily.
Web App pages are based on Bootstrap a front-end framework used to create modern websites and web apps. It's open-source and free to use, yet features numerous HTML and CSS templates for UI interface elements.
- Clone the project
git clone https://github.com/DataScienceUNIVR/Temporal_Apriori_Algorithm
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Create a virtual enviroment
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Put the project in venv
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Activate venv:
.\Scripts\activate -
Install all library necessary:
pip install -r requirements.txt
0- Make sure you have activate venv
1- You need to add enviroment variable.
- Win10 powershell:
$FLASK_APP="app" - Linux and MacOs:
export FLASK_APP=app
2- Launch app.
flask run
3- Open http://127.0.0.1:5000/
Developers usage: A IONIC app send api request to a server, it will answer with JSON object and app handle data.
Testing usage: You can use simply https://www.postman.com/ to send API request to server, it will response with a JSON object. Postman is very intuitive but see doc\relazione Chapter 5.2-3 to know api format, api response and how to use Postman
