Order prediction of interactive service of cable television based on K-means cluster and decision tree

This paper builds a forecasting model of service marketing which was based on cluster analysis combining with decision tree, it depicts K-means algorithm, C5.0 algorithm of decision tree and design of building model, and applies the model on predicting whether a region users will accept the interactive service of cable television, by this way it finds the users group which shows the highest response rate. The result shows that the model finds the users group of high response rate easier than predicting only by decision tree, it also improves the classification accuracy on a greater extent. The framework presented in this paper provides the enterprise with an important basis for making effective market decision in commercial competition.