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| Tekijä: | Kim, E. Kim, W. Lee, Y. |
| Otsikko: | Combination of multiple classifiers for the customer's purchase behavior prediction |
| Lehti: | Decision Support Systems
2003 : JAN, VOL. 34:2, p. 167-176 |
| Asiasana: | PREDICTION THEORY ALGORITHMS CUSTOMERS DECISION SUPPORT SYSTEMS |
| Kieli: | eng |
| Tiivistelmä: | In these days, EC companies are eager to learn about their customers using data mining technologies. But the diverse situations of such companies make it difficult to know which is the most effective algorithm for the given problems. Recently, a movement towards combining multiple classifiers has emerged to improve classification results. In this paper, the authors propose a method for the prediction of the EC customer's purchase behavior by combining multiple classifiers based on genetic algorithm. The method was tested and evaluated using Web data from a leading EC company. The authors also tested the validity of the authors' approach in general classification problems using handwritten numerals. |
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