Decision Trees Pruning Based on Multi - Strategy and Its Application
Yijie Li · Jisuanji fangzhen · 2010
This paper focuses on the application of data mining in medical diagnosis,analyses the advantage and disadvantage of classic decision tree pruning algorithms,and presents a new pruning algorithm based on multi-strategy.This algorithm considers user’s needs,and can accept descriptive parameters of decision trees on different data mining set.Finally,it gets the ideal decision tree model.The results of experiments show that this algorithm balances the precision and complexity better,and meets the needs of medical diagnosis in different application context,and ensures better adaptability in different data mining set.This paper uses this model and builds the Medical Assistant Diagnosis System,and its application is almost satisfactory.