The application of decision tree induction of classification in train tickets system
Yangdong Ye, Zhang Jing, Junwei Gao, Limin Jia · 2003
The train tickets system of railway includes rich data, but how to mine useful information from them is a problem that yearns for being settled. In this paper we apply the technique of classification in data mining to the train tickets system. We use the method of decision tree induction to analyze several attributes of train tickets and reduce some significant conclusions. It realizes the combination between the technique of classification and practical database. On the one hand, this research founds application background for classification. On the other hand, it applies the new technology of data mining to the train tickets analysis and provides abundant decision information for the organization and management of train tickets. It exploits the new field of data mining.