Thanks to the advance of novel technologies, such as sensors and Internet of Things (IoT)
technologies, big amounts of data are continuously gathered over time, resulting in a variety …

Detection of anomaly in streaming data requires continuous analysis of the stream in real
time. This process turns out to be difficult due to varied volume and velocity of data streams …

Anomaly detection in real-time data is accepted as a vital area of research. Clustering
techniques have effectively been applied for the detection of anomalies several times. As the …

Online anomaly detection of time-series data is an important and challenging task in
machine learning. Gaussian processes (GPs) are powerful and flexible models for modeling …

The capability to perform anomaly detection in a resource-constrained setting, such as an
edge device or a loaded server, is of increasing need due to emerging on-premises …

Finding real-time anomalies in any network system is recognized as one of the most
challenging studies in the field of information security. It has so many applications, such as …

There are many applications of anomaly detection in the Internet of Things domain. IoT
technology consists of a large number of interconnecting digital devices not only generating …

With the development of modern technology, the application of various types of devices in
life has become more extensive, especially with the emergence of the Internet of Things …

There are many applications of anomaly detection in IoT domain. IoT technology consists of
large number of interconnecting digital devices not only generating huge data continuously …

Finding anomalies in the real-time system is recognized as one of most challenging study in
information security. It has so many applications like IoT, and Stock-Market. In any IoT …