Audit-oriented sequence mining algorithm with strict constraints
Zhu Wan-tao · Journal of Computer Applications · 2006
Security audit data has obvious time feature, but many seqnence pattern mining algorityms consider little about the time feature of sequence data. A fast algorithm SISC(Sequence mIning with Strict Constraints) was presented based on SPADE. Time and attribute-relative features were utilized to lead the mining process, and strict attribute schemes were used to prune sequential rules. Experiments on a real-world audit dataset show that SISC outperforms SPADE, especially when the number of attributes is far less than the number of attribute values.