Method to Recognize the Key Factors Impact the Customer Equity Value

Abstract

AbstractHow to build a more accurate prediction model of customer equity value is an important concern in the customer equity area. With rough set theory, the key factors impact customer equity value are recognized from the possible factors of customer equity value which are listed by experts, managers etc. It can help to increase the quality of prediction model of customer equity value. The experiment shows that using the recognized key factors to build prediction model of customer equity value will get better results not only in training time but also in precision of the model compare to using the possible factors.KeywordsDecision TableAverage Relative ErrorCash IncomeNeutral NetworkTransaction DatabaseThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.