Nature-Inspired Algorithms for Time Series Numerical Association Rule Mining
Framework for numerical association rule mining in time series data using stochastic population-based nature-inspired algorithms. It provides tools to extract association rules from time series datasets while incorporating key metrics such as support, confidence, inclusion, and amplitude. Although independent from the NiaARM framework, this software can be viewed as an extension, with additional support for time series numerical association rule mining.
Release | Stable | Testing |
---|---|---|
Fedora Rawhide | 0.1.7-1.fc43 | - |
Fedora 42 | 0.1.7-1.fc42 | - |
Fedora 41 | 0.1.7-1.fc41 | - |
You can contact the maintainers of this package via email at
python-niaarmts dash maintainers at fedoraproject dot org
.