Study on the Test Data Fault Mining Technology Based on Decision Tree
Hui Han, Ying Hong, Ye Yang · Procedia Computer Science · 2019
Aiming at the shortage of greatness of test data and the traditional decision-making arithmetic of decision tree, the paper put forward a way to diagnose faults based on vehicle test data mining. Attribute list was built by the way of training data set in tests, fault decision tree fabricated based on better-deciphered arithmetic –C4.5. To overcome the time-consuming shortage of C4.5 in the discretization process of continuous valves, the paper studied Fayyad theorem, prospered improved arithmetic by calculating via dividing line, experiments proved the fault detection and diagnose strategy effectively and exactitude