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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3.1 |
rolling linux/jammy R-4.5 | niarules_0.3.1.tar.gz |
724.9 KiB |
0.3.1 |
rolling linux/noble R-4.5 | niarules_0.3.1.tar.gz |
728.5 KiB |
0.3.1 |
rolling source/ R- | niarules_0.3.1.tar.gz |
557.3 KiB |
0.3.1 |
latest linux/jammy R-4.5 | niarules_0.3.1.tar.gz |
724.9 KiB |
0.3.1 |
latest linux/noble R-4.5 | niarules_0.3.1.tar.gz |
728.5 KiB |
0.3.1 |
latest source/ R- | niarules_0.3.1.tar.gz |
557.3 KiB |
0.3.1 |
2026-04-26 source/ R- | niarules_0.3.1.tar.gz |
557.3 KiB |
0.3.1 |
2026-04-23 source/ R- | niarules_0.3.1.tar.gz |
557.3 KiB |
0.3.1 |
2026-04-09 windows/windows R-4.5 | niarules_0.3.1.zip |
1.0 MiB |
0.2.0 |
2025-04-20 source/ R- | niarules_0.2.0.tar.gz |
132.8 KiB |