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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/3998

Title: Evaluation of ordinal attributes at value level
Authors: Robnik-Sikonja, Marko
VANHOOF, Koen
Issue Date: 2007
Publisher: SPRINGER
Citation: DATA MINING AND KNOWLEDGE DISCOVERY, 14(2). p. 225-243
Abstract: We propose a novel context sensitive algorithm for evaluation of ordinal attributes which exploits the information hidden in ordering of attributes' and class' values and provides a separate score for each value of the attribute. Similar to feature selection algorithm ReliefF, the proposed algorithm exploits the contextual information via selection of nearest instances. The ordEval algorithm outputs probabilistic factors corresponding to the effect an increase/decrease of attribute's value has on the class value. While the ordEval algorithm is general and can be used for analysis of any survey with graded answers, we show its utility on an important marketing problem of customer (dis) satisfaction. We develop a visualization technique and show how we can use it to detect and confirm several findings from marketing theory.
Notes: Univ Ljubljana, Fac Comp & Informat Sci, Ljubljana 1001, Slovenia. Univ Hasselt, Dept Econ, B-3590 Diepenbeek, Belgium.Robnik-Sikonja, M, Univ Ljubljana, Fac Comp & Informat Sci, Trzaska 25, Ljubljana 1001, Slovenia.Marko.Robnik@fri.uni-lj.si koen.vanhoof@uhasselt.be
URI: http://hdl.handle.net/1942/3998
DOI: 10.1007/s10618-006-0048-4
ISI #: 000245281600002
ISSN: 1384-5810
Category: A1
Type: Journal Contribution
Validation: ecoom, 2008
Appears in Collections: Research publications

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