By the same authors

Local modelling in classification.

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Published copy (DOI)

Author(s)

  • Gero Szepannek
  • Julia Schiffner
  • Julie C. Wilson
  • Claus Weihs
  • Petra Perner (Editor)

Department/unit(s)

Publication details

Title of host publicationAdvances in Data Mining: Medical Applications, E-Commerce, Marketing, and Theoretical Aspects
DatePublished - 2008
Pages153-164
Number of pages12
PublisherSPRINGER-VERLAG BERLIN
Volume5077
Edition2008
Original languageEnglish

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume5077

Abstract

In classification tasks it may sometimes not be meaningful to build single rules on the whole data. This may especially be the case if the classes are composed of several subclasses. Several common as well as recent issues are presented to solve this problem. As it can e.g. be seen in Weihs et al. (2006) there may result strong benefit from such local modelling. All presented methods are evaluated and compared on four real-world classification problems in order to obtain some overall ranking of their performance following an idea of Hornik and Meyer (2007).

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