Anomaly detection for continuous sequence based compression process

In some sequence anomaly detection tasks, discrete problem has solved preferable, it is a common continuous sequence contain much more complexity, which it widely grows in the industry demand. An appropriate method based on the compress and discrete technique can strongly improve the detect performance. we introduce an anomaly detect framework named SSAD, and get a good result when experiment the method on the UCR time series dataset.