association-rules

Hadoop MapReduce implementation of Market Basket Analysis for Frequent Item-set and Association Rule mining using Apriori algorithm.

This is an implementation of Apriori algorithm for frequent itemset generation and association rule generation. The GUI is made using JAVA FX or Cmd_Line version can be used

Mining NB-Frequent Itemsets and NB-Precise Rules - R Package

Package provides java implementation of frequent pattern mining algorithms such as apriori, fp-growth

Example using Apriori algorithm from weka jar tool. For testing this algorithms is used data.arff with relationship state, money spent and amount of purchases of 146 user.

this is a backend application using springboot to implement the apriori method for association rules generation

Data Mining Capstone (Banking, COVID-19 & News Text) – IFN645

Information Retrieval, Information Extraction and Data Mining projects

This repo contains the implementation of Data Mining algorithms like Decision Trees, Beam Search, Apriori algorithm and a recommendation system for predicting user rating for movies.

Using data mining for market basket analysis (University Master Thesis)

This project is an Association Rule Mining implementation combining the Apriori algorithm with MapReduce that was implemented in the Masters of Advanced Analytics at Nova IMS

Exploration of the different phases of Data Mining: Data visualization, their preprocessing and the implementation of multiple algorithms for Data Mining.