jeffrichardchemistry/pyECLAT
A package for association analysis using the ECLAT method.
This tool helps retail analysts, market researchers, and business owners understand which products customers frequently buy together. You input a list of customer transactions (like a supermarket receipt), and it tells you which items appear together most often and how strong those connections are. This insight helps you make decisions about product placement, bundles, and promotions.
No commits in the last 6 months. Available on PyPI.
Use this if you need to quickly find common groupings of items within your transaction data to uncover purchasing patterns.
Not ideal if you require more complex association rules that involve metrics like confidence and lift, as this tool focuses solely on item support.
Stars
26
Forks
6
Language
Python
License
BSD-2-Clause
Category
Last pushed
Feb 08, 2024
Commits (30d)
0
Dependencies
3
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