Association rule mining is a technique to identify underlying relations between different items.

Fully automated pipeline for static code graph analysis

Scalable association rule mining from tabular datasets.

A minimalistic framework for Numerical Association Rule Mining

A detialed analysis on the customers, products, orders and shipments of the Brazilian E-commerce giant Olist.

Analytics and Systems of Big Data

universal Association Rule Mining Solver

A Python Jupyter Notebook demonstrating how to perform association rule mining to discover frequent itemsets and generate interesting relationships in transactional data.

Implementation of Decision Tree Classifier, Esemble Learning, Association Rule Mining and Clustering models(Kmodes & Kprototypes) for Customer attrition analysis of telecommunication company to identify the cause and conditions of the churn.

Apriori for association rule mining with Python bindings 🦀🐍

A minimalist machine learning library built from scratch by IFRI AI students to explore and understand core ML algorithms.🇧🇯

"Frequent Mining Algorithms" is a Python library that includes frequent mining algorithms. This library contains popular algorithms used to discover frequent items and patterns in datasets. Frequent mining is widely used in various applications to uncover significant insights, such as market basket analysis, network traffic analysis, etc.

This repository contains the three-part capstone project made for the DTU Data Science course 02450: Introduction to Machine Learning and Data Mining

Market Basket Analysis What is it? Market Basket Analysis is a modelling technique based upon the theory that if you buy a certain group of items, you are more (or less) likely to buy another group of items. For example, if you are in an English pub and you buy a pint of beer and don't buy a bar meal, you are more likely to buy crisps (US. chips) at the same time than somebody who didn't buy beer.

Mini Projects on Data Analytics including Exploratory Data Analysis, Recommendation Systems, Association Rule Mining, Sentiment Analysis, Time Series Analysis

Breast Cancer Pattern Recognition through Association Rule Mining

Predicting election results by county for the 2016 US general election with machine learning in R.

R package for searching of patterns in subspaces described with elementary conjunctions

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A simple Market Basket Analysis that uses the apriori algorithm to find affinities between retail products

Analyzing Behavior of ISIS and Al-Qaeda using Association Rule Mining (A Research Paper Implementation)

Syracuse University, Masters of Applied Data Science - IST 707 Data Analytics

Open-source framework designed to enhance the ESCO taxonomy

A python implementation of the Multiple Support Apriori Algorithm

Recommender system that predicts your next order based on your previous purchases. Also, it discuss the association between product purchases.

Data Mining Course Assignments - Fall 2019

Repository with the source code of our experiments for an automated NLP-based framework to improve test cases written in natural language

CHARM algorithm for closed item set mining (Java)

PCY Algorithm for Frequent Pattern Mining using Pyspark

Web app for mining and visually analyzing association rules.