A library of extension and helper modules for Python's data analysis and machine learning libraries.
An efficient Python implementation of the Apriori algorithm.
Mining Association Rules and Frequent Itemsets with R
Association rule mining is a technique to identify underlying relations between different items.
🍊 📦 Frequent itemsets and association rules mining for Orange 3.
Visualizing Association Rules and Frequent Itemsets with R
Classification Based on Association Rules in R
Association Rule Mining from Spatial Data for Crime Analysis
采用Apriori算法,Fpgrowth算法,Eclat算法对超市商品数据集进行频繁集与关联规则的挖掘
Implementation of FPTree-Growth and Apriori-Algorithm for finding frequent patterns in Transactional Database.
Implement Frequent Itemset Mining Program in Python
Time series prediction and text analysis using Keras LSTM, plus clustering, association rules mining
个性化推荐模型，主要包括als、als_wr、biaslfm、lfm、nmf、svdpp、基于内容、基于内容回归、user-cf、item-cf、slopeone、关联规则以及基于内容和cf的混合等模型。
A Java implementation of the Apriori algorithm for finding frequent item sets and (optionally) generating association rules
Arulesviz - interactive association rules vizualization tool for python
Python project for Market Basket Analysis. Generates synthetic retail transactions, mines frequent itemsets using Apriori & FP-Growth, derives association rules, and outputs CSVs + visualizations. Portfolio-ready example demonstrating data science methods for uncovering product co-purchase patterns.
RuleMiner is a package for data mining in Julia with support for itemset and association rule mining algorithms
Association rule mining using Apriori algorithm.
A minimalistic framework for Numerical Association Rule Mining
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