A logical type discriminant model for profiling a segment structure

Cardoso, M.G.M.S. and Moutinho, L. (2003) A logical type discriminant model for profiling a segment structure. Journal of Targeting, Measurement and Analysis for Marketing, 12(2), pp. 27-41. (doi:10.1057/palgrave.jt.5740096)

Full text not currently available from Enlighten.

Abstract

Profiling a segment structure may help to make segments accessible and generally contribute to improving the understanding of the segments, thus helping to support management decisions. Logical type discriminant models yield results that are easy to understand; this makes them particularly useful for profiling. From this point of view, the induction of propositional rules yields better results when compared with hierarchical structures derived from decision tree algorithms. An application in the tourism market illustrates some advantages of the C5 algorithms for the induction of classification trees and sets of propositional rules for profiling a segment structure

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Moutinho, Professor Luiz
Authors: Cardoso, M.G.M.S., and Moutinho, L.
Subjects:H Social Sciences > HF Commerce
College/School:College of Social Sciences > Adam Smith Business School > Management
Journal Name:Journal of Targeting, Measurement and Analysis for Marketing
ISSN:0967-3237
ISSN (Online):1479-1862

University Staff: Request a correction | Enlighten Editors: Update this record