Abstract
Bump Hunting is a new data mining technique introduced by Friedman and Fisher (1997). In this paper, we explore its potential for risk assessment and illustrate the method by application to credit risk data from a German bank. Based on comparisons with previous analyses of this data set, we conclude that Bump Hunting has promising potential for identification of risk in economic and medical applications.
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BECKER, U. (1999): Bump Hunting: A New Data Mining Tool. Ludwig-Maximilians—Universität München, Institut für Statistik, Diploma thesis.
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FRIEDMAN, J.H. and FISHER, N.I. (1997): Bump Hunting in High—Dimensional Data. Stanford University, Stanford, California, Technical report.
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© 2000 Springer-Verlag Berlin · Heidelberg
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Becker, U., Fahrmeir, L. (2000). Bump Hunting for Risk: A New Data Mining Tool. In: Gaul, W., Opitz, O., Schader, M. (eds) Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58250-9_32
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DOI: https://doi.org/10.1007/978-3-642-58250-9_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67731-4
Online ISBN: 978-3-642-58250-9
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