Anomaly detection (AD) is considered one of the important research areas that have a
diverse range of application domains. Some of the anomaly detection techniques presented …

Anomaly detection is an important and dynamic research area that has been applied and
research in various field. This survey tries to provide a basic and structured overview of the …

Anomaly detection is an important problem that has been researched within diverse
research areas and application domains. Many anomaly detection techniques have been …

Anomaly detection is a popular research topic these days since it influences a wide scope of
uses. A variety of strategies for detecting abnormalities in various domains have been …

In this paper, we consider the problem of anomaly detection. Previous studies mostly deal
with this task in either supervised or unsupervised manner according to whether label …

This article provides a thorough meta-analysis of the anomaly detection problem. To
accomplish this we first identify approaches to benchmarking anomaly detection algorithms …

Anomaly detection is an important problem that has been well-studied within diverse
research areas and application domains. The aim of this survey is two-fold, firstly we present …

We are delighted to present this special issue on Anomaly Detection in Emerging Data-
Driven Applications: Theory, Algorithms, and Applications. Anomaly detection plays an …

Anomaly detection can be defined as the process to find out the outliers of a dataset, where
outliers or anomalies are the instances that don't belong to that particular dataset. These …

Anomaly detection identifies objects or events that do not behave as expected or correlate
with other data points. Anomaly detection has been used to identify and investigate …