Raising the ClaSS of Streaming Time Series Segmentation

arXiv:2310.20431v2 Announce Type: replace
Abstract: Ubiquitous sensors today emit high frequency streams of numerical measurements that reflect properties of human, animal, industrial, commercial, and natural processes. Shifts in such processes, e.g. caused by external events or internal state changes, manifest as changes in the recorded signals. The task of streaming time series segmentation (STSS) is to partition the stream into consecutive variable-sized segments that correspond to states of the observed processes or entities. The partition operation itself must in performance …

abstract arxiv class commercial cs.ai cs.db cs.lg events human industrial manifest natural numerical processes segmentation sensors series state streaming time series type