Real Time Periodicity Detection in Time-Series Databases
Fathima Kunhi Mohamed, Shaiju Panchikkil · 2013
Time series is a set of statistics, usually collected at regular intervals. The goal of analyzing a time series database is to find whether and how frequent a periodic pattern is repeated within the series. Periodic pattern mining is the problem that regards temporal regularity. It has a number of applications, such as prediction, forecasting, detection of unusual activities, etc. Several algorithms have been developed for detecting periodicity in time series databases. A new method is proposed for online data sets which need periodicity detection to be online.