Package: niarules 0.1.0

niarules: Numerical Association Rule Mining using Population-Based Nature-Inspired Algorithms

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) <doi:10.1007/978-3-030-03493-1_9>.

Authors:Iztok Jr. Fister [aut, cre, cph]

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niarules/json (API)

# Install 'niarules' in R:

install.packages('niarules', repos = c('https://firefly-cpp.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/firefly-cpp/niarules/issues

On CRAN:

association-rules metaheuristics optimization

3.60 score 1 stars 1 scripts 143 downloads 21 exports 0 dependencies

Last updated 4 months agofrom:348ee5b5b7. Checks:OK: 1 NOTE: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 19 2024
R-4.5-win	NOTE	Nov 19 2024
R-4.5-linux	NOTE	Nov 19 2024
R-4.4-win	NOTE	Nov 19 2024
R-4.4-mac	NOTE	Nov 19 2024
R-4.3-win	NOTE	Nov 19 2024
R-4.3-mac	NOTE	Nov 19 2024

Exports:add_association_rule add_attribute build_rule calculate_border calculate_fitness calculate_selected_category check_attribute cut_point differential_evolution evaluate extract_feature_info feature_borders feature_position fix_borders print_association_rules print_feature_info problem_dimension read_dataset rs supp_conf write_association_rules_to_csv

Dependencies:

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Add an association rule to the list of rules.	add_association_rule
Add an attribute to the "rule" list.	add_attribute
Build rules based on a candidate solution.	build_rule
Calculate the border value based on feature information and a given value.	calculate_border
Calculate the fitness of an association rule.	calculate_fitness
Calculate the selected category based on a value and the number of categories.	calculate_selected_category
Check if the attribute conditions are satisfied for an instance.	check_attribute
Calculate the cut point for an association rule.	cut_point
Implementation of Differential Evolution metaheuristic algorithm.	differential_evolution
Evaluate a candidate solution.	evaluate
Extract feature information from a dataset.	extract_feature_info
Get the lower and upper bounds of a feature.	feature_borders
Get the position of a feature.	feature_position
Fix Borders of a Numeric Vector	fix_borders
Print Numerical Association Rules	print_association_rules
Print feature information extracted from a dataset.	print_feature_info
Print Rule Parts	print_rule_parts
Calculate the dimension of the problem based on feature information.	problem_dimension
Read a dataset from a CSV file.	read_dataset
Simple Random Search	rs
Calculate support and confidence for an association rule.	supp_conf
Write Association Rules to CSV file	write_association_rules_to_csv