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GitHub topics: closed-itemset-mining

shubhro2002/Market-Basket-Analysis

Using different Association Rule Mining Algorithms to establish rules between item(s) from a transactional data. 3 different algorithms were used to generate itemsets and generate candidate rules from them based on certain metrics. Link to the dataset is given below.

Language: Jupyter Notebook - Size: 170 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

shubhro2002/ECLAT-and-CLOSET-plus-Algorithms

The project focuses on exploring two specific Association Rule Mining Algorithms - ECLAT and CLOSET+. This is a continuation of Market Basket Analysis project. A transaction dataset has been used containing grocery data. Link to the dataset is given below.

Language: Jupyter Notebook - Size: 146 KB - Last synced at: 22 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

zakimjz/CHARM-L

CHARM-L algorithm to generate the closed itemset lattice and non-redundant rules

Language: C++ - Size: 52.7 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

zakimjz/CHARM

CHARM algorithm for closed itemset mining

Language: C++ - Size: 36.1 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0