Review paper
Subgroup Discovery with CN2-SD
Abstract
This paper investigates how to adapt standard classification rule learning approaches to subgroup discovery. The goal of subgroup discovery is to find rules describing subsets of the population that are sufficiently large and statistically unusual. The paper presents a subgroup discovery algorithm, CN2-SD, developed by modifying parts of the CN2 classification rule learner: its covering algorithm, search heuristic, probabilistic classification...
Paper Details
Title
Subgroup Discovery with CN2-SD
Published Date
Dec 1, 2004
Volume
5
Pages
153 - 188
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