# associative_rules

**Repository Path**: li59135016_admin/associative_rules

## Basic Information

- **Project Name**: associative_rules
- **Description**: Induction of associative rules with Apriori and DIC algorithms.
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-06-28
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

==============================
Associative rules induction
==============================

usage: ar.py [-h] [-a, --algorithm ALGORITHM] [-c, --confidence MINCONF]
             [-s, --support MINSUP] [-m M]
             infile [outfile]

Induction of associative rules from datasets.

positional arguments:
  infile                input file
  outfile               output file

optional arguments:
  -h, --help            show this help message and exit
  -a, --algorithm ALGORITHM
                        name of preferred algorithm - apriori or dic
  -c, --confidence MINCONF
                        minimum confidence (0..1)
  -s, --support MINSUP  minimum support (0..1)
  -m M                  DIC's granularity

For current version check
'http://github.com/PowerLlamas/associative_rules'.