Mirror of `apriori`,`fpgrowth` and `sequoia` from `Christian Borgelt`

An analysis of orders placed on Instacart website to create a Recommendation Engine in R

The main objective of this analysis is to identify products that customers want to purchase, and enables sales and marketing teams to develop more effective product placement, pricing, cross-sell, and up-sell strategies.

This project is a Market Basket Analysis App that analyzes customer purchase patterns to generate association rules and offer personalized product recommendations.

Data Mining (CS F415) | Research Project

This is a project of finding a strong association within attributes on a Smoking Dataset.

Association rules (with taxonomy) mining

IMPLEMENTATION-OF-ASSOCIATION-RULE-MINING-AND-REGRESSION-ON-E-LEARNING-PLATFORM

in this section we will be association rule learning on online_retail_ıı dataset

Learn more about market basket analysis with a hands-on project

Finding Association Rules from Semantic web data using Spark framework

Affinity analysis for market basket recommendation. Implemented using the FP-Growth algorithm.

Mining association rules within a dataset for frequent items, using Apriori.

This repository includes my marketing/data analytics project on monitor dataset that includes Maximum Likelihood Model, Market Simulation, Cluster Analysis, Market Basket Analysis, Association Rule Mining, Hierarchical Bayesian Regression Model, R script code.

A Product Sequence Predictor and Recommender Application made as a part of the Machine Learning Lab Course in the curriculum of B. Tech. Data Science & Engineering at Manipal Institute of Technology.

UG Final Year Project based on Suffix Forest Based Tri-clustering

Implementation of an apriori model to find frequent items in the basket.

in this section will be association rule learning on online_retail_ii dataset