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niarules  

Numerical Association Rule Mining using Population-Based Nature-Inspired Algorithms
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("niarules", "0.2.0")



Attach the package and use:
library("niarules")
Maintained by
Iztok Jr. Fister
[Scholar Profile | Author Map]
First Published: 2024-03-09
Latest Update: 2024-03-09
Description:
Framework is devoted to mining numerical association rules through the utilization of nature-inspired algorithms for optimization. Drawing inspiration from the 'NiaARM' 'Python' and the 'NiaARM' 'Julia' packages, this repository introduces the capability to perform numerical association rule mining in the R programming language. Fister Jr., Iglesias, Galvez, Del Ser, Osaba and Fister (2018) .
How to cite:
Iztok Jr. Fister (2024). niarules: Numerical Association Rule Mining using Population-Based Nature-Inspired Algorithms. R package version 0.2.0, https://cran.r-project.org/web/packages/niarules. Accessed 03 Apr. 2025.
Previous versions and publish date:
0.1.0 (2024-03-09 12:30)
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Complete documentation for niarules
Functions, R codes and Examples using the niarules R package
Full niarules package functions and examples
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