A minimalistic framework for numerical association rule mining
Description
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.
