Train ticket predictive analysis based on decision tree induction

According to the requirements of decision analyses and the limitations of current prediction methods in China railway train ticket system (CRTTS), a novel method TTDTPA, which is based on decision tree induction, is presented. TTDTPA extracts a kind of instructive rules that collect the advantages both prediction and statistic, therefore it is suitable for supporting multi-level requirements of the decision-makers for predictive analysis in CRTTS. In this paper, firstly, the authors describe TTDTPA, and then through the detailed analysis on the application about passenger seat type, we prove the efficiency and the validity of TTDTPA in CRTTS. Finally this paper concludes the predictive analysis problems that is faced in CRTTS.