A multivariate time series refers to observations of two or more variabl...
Providing online adaptive lightweight time series anomaly detection with...
As more connected devices are implemented in a cyber-physical world and ...
An open-ended time series refers to a series of data points indexed in t...
Over the past decade, many approaches have been introduced for traffic s...
Real-world time series data often present recurrent or repetitive patter...
Anomaly detection is the process of identifying unexpected events or
ab-...
Short-term traffic speed prediction has been an important research topic...
Anomaly detection is an active research topic in many different fields s...
Over the past decade, several approaches have been introduced for short-...
During the past decade, many anomaly detection approaches have been
intr...
With the development of IoT technologies in the past few years, a wide r...
As more and more devices connect to Internet of Things, unbounded stream...
To solve the limitation of Hadoop on scalability, resource sharing, and
...
It is cost-efficient for a tenant with a limited budget to establish a
v...
Recently, a wide range of smart devices are deployed in a variety of
env...