Data mining applications research based on ISBN management

Yinglan Fang, Bing Han, Binghui Chen

Department of Computer, North China University of Technology, Jinyuanzhuang Road 5, Beijing, China

ISBN management systems existed irregularities publishing. How to summarizes the current book publishing rule according to publish information, it can better grasp the overall book market trends based on existing books. This paper introduced data mining ideas to the book publishing field through the study of real-name system to apply business processes. There were two data mining models. One was association rule analysis model based on subject field to book type distribution. It analyzed book type using classic Apriori association rule analysis algorithms to identify book publishing hot and the overall trend of publishing business. It can effectively regulate press book publishing behaviour and has great significant to the China's publishing industry healthy and orderly development.