@techreport{Hilbert2002Some,
abstract = {Decision trees are used very successfully for the identification resp. classification task of
objects in many domains like marketing (e.g. Decker, Temme (2001)) or medicine. Other
procedures to classify objects are for instance the logistic regression, the logit- or probit
analysis, the linear or squared discriminant analysis, the nearest neighbour procedure or
some kernel density estimators. The common aim of all these classification procedures is
to generate classification rules which describe the correlation between some independent
exogenous variables resp. attributes and at least one endogenous variable, the so called
class membership variable.},
author = {Andreas Hilbert},
copyright = {http://www.econstor.eu/dspace/Nutzungsbedingungen},
keywords = {330; Entscheidungsbaum; Korrelation; Theorie},
language = {eng},
number = {180},
title = {Some Remarks about the Usage of Asymmetric Correlation Measurements for the Induction of Decision Trees},
type = {Arbeitspapiere zur mathematischen Wirtschaftsforschung},
url = {http://hdl.handle.net/10419/22816},
year = {2002}
}
