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Case-Based Characterization and Analysis of Subgroup Patterns

  • In this paper, we propose a case-based approach for characterizing and analyzing subgroup patterns: We present techniques for retrieving characteristic factors and cases, and merge these into prototypical cases for presentation to the user. In general, cases capture knowledge and concrete experiences of specific situations. By exploiting case-based knowledge for characterizing a subgroup pattern, we can provide additional information about the subgroup extension. We can then present the subgroup pattern in an alternative condensed form that characterizes the subgroup, and enables a convenient retrieval of interesting associated (meta-)information.

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Metadaten
Author:Martin Atzmueller
URN:https://nbn-resolving.org/urn:nbn:de:gbv:hil2-opus-162
Document Type:Conference Proceeding
Language:English
Date of Publication (online):2011/04/15
Contributing Corporation:University of Würzburg, Department of Computer Science
Release Date:2011/04/15
Source:KDML 2006: Knowledge Discovery, Data Mining, and Machine Learning 9.-13. Oktober 2006, Hildesheim
PPN:Link zum Katalog
Contributor:Althoff, Klaus-Dieter
Institutes:Fachbereich IV / Informatik
DDC classes:000 Allgemeines, Informatik, Informationswissenschaft / 000 Allgemeines, Wissenschaft / 004 Informatik
Licence (German):License LogoDeutsches Urheberrecht