出版社：Academy of Economic Studies - Bucharest, Romania
摘要：This paper presents an experiment of using deep learning models for distribution channel management. We present an approach that combines self-organizing maps with artificial neural network with multiple hidden layers in order to identify the potential sales that might be addressed for channel distribution change/ management. Our study aims to highlight the evolution of techniques from simple features/learners to more complex learners and feature engineering or sampling techniques. This paper will allow researchers to choose best suited techniques and features to prepare their churn prediction models.
关键词：Artificial Neural Network; Distribution Channel; Self-Organizing Maps; Deep Learning
