For better predictions and classifications in customer recommendation, this study proposes an integrative model that efficiently combines the currently-in-use statistical and artificial intelligence models. In particular, by integrating the models such as Association Rule, Connection Frequency Matrix, and Rule Induction, this study suggests an integrative prediction model
저자
Kim, Jin-Hwa [ School of Business, Sogang University ]
Bae, Jae-Kwon [ School of Business, Sogang University ]
