An adaptation of COBWEB for symbolic data case

Marcin Pełka

Abstract

The paper proposes an extension for well-known COBWEB algorithm for different sym- bolic variable types. This extension allows to apply symbolic variables for category utility evaluation. Main body of the paper presents how to adapt category utility for different symbolic variable types. Example shows an illustrative example of the proposed method.
Author Marcin Pełka (EMaT / DEaCS)
Marcin Pełka,,
- Department of Econometrics and Computer Science
Journal seriesStatistica, ISSN 1973-2201, (4 pkt)
Issue year2015
Vol75
No3
Pages265-273
Publication size in sheets0.5
Keywords in Englishsymbolic data analysis; COBWEB; conceptual clustering
URL https://rivista-statistica.unibo.it/article/view/6097/5859
Languageen angielski
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Pełka_An_adaptation_of_COBWEB_for.pdf 304,44 KB
Score (nominal)4
ScoreMinisterial score = 4.0, 02-07-2019, ArticleFromJournal
Ministerial score (2013-2016) = 4.0, 02-07-2019, ArticleFromJournal
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