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APPLICATION OF SYMBOLIC DECISION TREES IN PREFERENCE ANALYSIS (Zastosowanie drzew klasyfikacyjnych dla danych symbolicznych w ocenie preferencji konsumentow)

100%
Pelka M.
Econometrics. Ekonometria. Advances in Applied Data Analytics
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2011
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issue 30 (Zastosowania metod ilościowych)
28-35
EN
The paper presents the application of symbolic decision trees in preference analysis. To obtain such a goal basic terms of symbolic data analysis are presented. In the empirical part the results of preferences of flake consumers analysis are presented.
2
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Ensemble Approach for Clustering of Interval-Valued Symbolic Data

100%
Pelka M.
Statistics in Transition new series
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2012
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vol. 13
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issue 2
335-342
EN
Ensemble approach has been applied with a success to regression and discrimination tasks [see for example Gatnar 2008]. Nevertheless, the idea of ensemble approach, that is combining (aggregating) the results of many base models, can be applied to cluster analysis of symbolic data. The aim of the article is to present suitable ensemble clustering based on symbolic data. The empirical part of the paper presents results simulation studies (based on artificial data sets with known cluster structure) of ensemble clustering based on co-occurrence matrix for symbolic interval-valued data, compared with single clustering method. The results are compared according to corrected Rand index.
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