Research on application of FP_tree based association rule mining on test sequence in train control system
Ying Gao, Qi Zhang, Lijie Chen, Kaifeng Wang, Ningning Chen, Hongjie Liu · 2017
Based on the development and application of on-board subsystem test bench for current CTCS-3 system, this paper focuses on the approach of automatically generation of test sequence, takes the existing test sequences of ETCS-2 (European Train Control system level 2) as the train set existing relatively mature test sequence as the training set, to execute association rule mining. The whole data mining process involves data preparation (including data cleaning and data selection) firstly, providing basement for association rule, then establishes FP_tree and seeks test cases with frequent pattern through implementing FP_growth algorithm for the target database. Comparing the analysis results and experience, it shows that the association rule based on FP_tree could play an important role on the efficiency and verification of automatically generation of test sequence.