Mining contrast sets in classification, regression, and survival data by fusing separate and conquer models. (arXiv:2204.00497v2 [cs.DB] UPDATED)

Identifying differences between groups is one of the most important knowledge
discovery problems. The procedure, also known as contrast sets mining, is
applied in a wide range of areas like medicine, industry, or economics.

In the paper we present RuleKit-CS, an algorithm for contrast set mining
based on a sequential covering - a well established heuristic for decision rule
induction. The fusion of multiple passes accompanied with an attribute
penalization scheme allows generation of contrast sets describing same examples
with …

arxiv classification data mining regression survival