Anomaly detection in data streams comes with different technical challenges due to the data
nature. The main challenges include storage limitations, the speed of data arrival, and …

Time series chain (TSC) is a recently introduced concept that captures the evolving patterns
in large scale time series. Informally, a time series chain is a temporally ordered set of …

Variable-length anomalous subsequence detection in time series has many important
applications in the real world, yet the methods presented in existing studies are …

Time series motif discovery has been a fundamental task to identify meaningful repeated
patterns in time series. Recently, time series chains (TSCs) were introduced as an …

Discord is the most unusual subsequence in a time series. Most of the methods for discord
detection in time series belong to the window-based category which uses a sliding window …

With the advancement of sensor technology, large volumes of high-resolution time series
are collected in a variety of domains and data mining in large-scale time series has attracted …