A minimalistic framework for numerical association rule mining
NiaARM is a framework for Association Rule Mining based on nature-inspired algorithms for optimization. The framework is written fully in Python and runs on all platforms. NiaARM allows users to preprocess the data in a transaction database automatically, to search for association rules and provide a pretty output of the rules found. This framework also supports numerical and real-valued types of attributes besides the categorical ones. Mining the association rules is defined as an optimization problem, and solved using the nature-inspired algorithms that come from the related framework called NiaPy.
Release | Stable | Testing |
---|---|---|
Fedora Rawhide | 0.3.12-1.fc41 | - |
Fedora 41 | 0.3.12-1.fc41 | - |
Fedora 40 | 0.3.12-1.fc40 | - |
Fedora 39 | 0.3.12-1.fc39 | - |
You can contact the maintainers of this package via email at
python-niaarm dash maintainers at fedoraproject dot org
.