search query: @author Swinnen, G. / total: 3
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| Author: | Montgomery, D. Swinnen, G. Vanhoof, K. |
| Title: | Comparison of some AI and statistical clasification methods for a marketing case |
| Journal: | European Journal of Operational Research
1997 : DEC, VOL. 103:2, p. 312-325 |
| Index terms: | DECISION SUPPORT SYSTEMS ARTIFICIAL INTELLIGENCE STATISTICAL METHODS |
| Language: | eng |
| Abstract: | This paper presents a number of different classification methods. The Gatekeeper-procedure can be seen as predecessor of modern rule induction tools. The relationship between statistical analysis and rule induction s complex. Machine learning methods do not force a decision into a functional form, as discriminant and logit or probit procedures do. Rule induction methods will better reflect the actual decision-making behavior. The case study shows that for marketing applications, rule induction is a potentially powerful tool to examine buyer behavior in a way quite different from existing statistical methods. |
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