The hinduce-associations-apriori package

[Tags: library, mit]

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.


Change logNone available
Dependenciesbase (==4.*), containers (>=, deepseq (>=, hinduce-missingh (>=, parallel (>=, vector (>=0.9.1) [details]
CopyrightHidde Verstoep
AuthorHidde Verstoep
CategoryData Mining
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UploadedTue Feb 7 20:41:16 UTC 2012 by RobertHensing
Downloads257 total (10 in last 30 days)
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StatusDocs uploaded by user
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