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RecAssoRules  

Recursive Mining for Frequent Pattern and Confident Association Rules
View on CRAN: Click here


Download and install RecAssoRules package within the R console
Install from CRAN:
install.packages("RecAssoRules")

Install from Github:
library("remotes")
install_github("cran/RecAssoRules")

Install by package version:
library("remotes")
install_version("RecAssoRules", "1.0")



Attach the package and use:
library("RecAssoRules")
Maintained by
Louis Raimbault
[Scholar Profile | Author Map]
First Published: 2020-12-04
Latest Update: 2020-12-04
Description:
Provides functions allowing the user to recursively extract frequent patterns and confident rules according to indicators of minimal support and minimal confidence. These functions are described in "Recursive Association Rule Mining" Abdelkader Mokkadem, Mariane Pelletier, Louis Raimbault (2020) .
How to cite:
Louis Raimbault (2020). RecAssoRules: Recursive Mining for Frequent Pattern and Confident Association Rules. R package version 1.0, https://cran.r-project.org/web/packages/RecAssoRules. Accessed 03 May. 2025.
Previous versions and publish date:
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Other packages that cited RecAssoRules R package
View RecAssoRules citation profile
Other R packages that RecAssoRules depends, imports, suggests or enhances
Complete documentation for RecAssoRules
Functions, R codes and Examples using the RecAssoRules R package
Some associated functions: RecAssoRules-package . Transacfruits . prefrecrules . prefrecset . transactiontoBitmax . 
Some associated R codes: RcppExports.R .  Full RecAssoRules package functions and examples
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