This paper provides a critical review of Patient Rule Induction Method and other bump hunting algorithms and their applications. We also give an overview about interpretability in several key supervised data mining algorithms. This allows for exploring the potential for using PRIM, with its interpretation capability, as a core technology towards building a highly accurate and interpretable classifier in a mixed data space.
Published in: 3rd European International Conference on Industrial Engineering and Operations Management, Pilsen, Czech Republic
Publisher: IEOM Society International
Date of Conference: July 23-26, 2019
ISBN: 978-1-5323-5949-1
ISSN/E-ISSN: 2169-8767
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