Proceedings of the Korean Society for Quality Management Conference (한국품질경영학회:학술대회논문집)
- 2004.04a
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- Pages.573-575
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- 2004
A new Customer Segmentation Method for the Prediction of Customer Buying Behavior
고객 구매 행동 예측을 위한 새로운 고객 세분화 방안
Abstract
This study presents a new customer segmentation method based on features that can predict the customer's buying behavior. In this method, we consider all variables that can affect the customer's buying behavior including demographics, psychographics, technographics, transaction pattern-related variables, etc. We define several features which are the combination of variables with the interaction effect by using C5.0, use SOM (Self-Organizing Map) neural networks in odor to extract the feature's patterns and classify, and then make features' rules using C5.0 far the prediction of customer buying behavior
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