hinduce-associations-apriori: Apriori algorithm for association rule mining

[ data-mining, library, mit ] [ Propose Tags ]

This module provides an implementation of the Apriori algorithm for association rule mining. It uses Control.Parallel.Strategies for parallelism and allows the user to provide custom selection criteria. See hinduce-examples for an example. hInduce is a framework for knowledge discoverymachine learningdata mining. It has a modular design that hopefully will invite others to re-use and build upon the interface. This module currently deviates from this concept, because we had a different focus and too limited time budget to investigate other rule mining algorithms and find any use for this kind of abstraction.




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Dependencies base (>=4 && <5), containers (>=, deepseq (>=, hinduce-missingh (>=, parallel (>=, vector (>=0.9.1) [details]
License MIT
Copyright Hidde Verstoep
Author Hidde Verstoep
Maintainer none
Category Data Mining
Home page https://github.com/roberth/hinduce-associations-apriori
Uploaded by RobertHensing at 2012-02-07T20:41:16Z
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Reverse Dependencies 2 direct, 0 indirect [details]
Downloads 1217 total (16 in the last 30 days)
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