The inertia test and trend partition for trend detection in sequential data
Gao Xuedong, Gu Kan · 2015
This paper focuses on the definition of primitives and the presentation and detection of trends in the field of trend studies. An algorithm using the inertia test to detect trends is also proposed. Experiment results explain the reason why traditional primitives can fit sequential data well, while exposing their limitations at the same time.