Subgroup Discovery with CN2-SD

  title={Subgroup Discovery with CN2-SD},
  author={Nada Lavrac and Branko Kavsek and Peter A. Flach and Ljupco Todorovski},
  journal={Journal of Machine Learning Research},
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 of instances, and evaluation measures. Experimental… CONTINUE READING
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