Django Server for Data Mining

This project uses Django to provide RESTful Web Services for data mining in your app. Created by Zhenyi Tang.

Overview

django-data-mining is a powerful and flexible server which provides a simple yet highly extensible architecture.

It is hard to add up some python based data mining functions to an exsiting back-end server(Node.js). Although Node.js provides a "child_process" module to run a python script and uses "stdout" to listen for the output, it has a poor scalability and difficult to debug. This project sets up a python server to run the data mining functions and return the output to the back-end in a JSON form.

Architecture

Features

• Cluster
  • k-means
  • hierarchical clustering
• Neural network
  • artificial neural networks
  • Long short-term memory
• Recommendation
  • collaborative filtering

Quick Start

Let's pretend you want to add up some other functions to this server.

First, create a new app:

$ python manage.py startapp APP_NAME

Second, append this app to INSTALLED_APPS list in server/settings.py

INSTALLED_APPS = [
    # Append the APP_NAME at the end of this array
]

Now, create an "urls.py" file in the directory of your new app ( ) and include it to the project. Here is the urlpatterns of your new app.

# File path: APP_NAME/urls.py
from django.urls import path
from . import views
#
urlpatterns = [
    path('RELETIVE_PATH', views.FUNCTION_NAME),    
]

# File path: server/urls.py
from django.contrib import admin
from django.urls import path,include
urlpatterns = [
    # include the above patterns here
    path('APP_NAME/', include('APP_NAME.urls')),
]

When you send a request to "APP_NAME/RELETIVE_PATH" the server will call the FUNCTION_NAME now.