An Association Patterns Mining System Based on Common Mechanism and Its Application
基于共同机制的时间序列关联模式挖掘系统及其应用

This paper gives an algorithm for mining association patterns between two different time series, and describes the construction of a mining system. There are three main processes: segmenting, clustering and discovering association patterns in this system. The algorithm for association patterns discovery is based on the idea of common mechanism, i.e. an association pattern may be a result from a common mechanism or some causality between two series. The influence by the common mechanism more strong, the probability of two patterns more close to each other. Under the constraint of a reliability measuring the influence, the search space is enormously reduced, which brings on low complexity and fine extensibility. An instance shows its validity.