… in this paper describes a framework consisting of two distinct components: the content anomaly
detector and the contextual anomaly detector. The work is described as a framework as it …

… a modification of the anomaly detection problem where µ is … applications different from
anomaly detection. For example, it … cannot be used for the anomaly detection problem since the …

… In this paper, we propose an anomaly detection framework (ADF) for large-scale, real-world …
The framework is composed of four modules: 1) time-sliced anomaly detection (TSAD), …

… detection (Kloft and Laskov, 2010). We introduce a framework for anomaly detection on data
… FOSS) has been developed for both anomaly detection and streaming data. However, these …

… In this study, an anomaly detection framework is established using intervals and high-order
differences. The first and second order difference methods are given as an example for …

… This article develops a cost-sensitive anomaly detection framework and its optimal structure
based on the trade-off between false alarms and missed anomalies and provides both …

… the basis of an anomaly detection framework that identifies any … In Section 5 an anomaly
detection framework based on the … proposed anomaly detection system identifies as anomalies …

… To tackle the abovementioned problems, a knowledgedriven image anomaly detection
framework for social production systems is proposed in this article, named DeFiad. Features of …

… Even though methods exist for anomaly detection, there are still some challenges in the …
to anomaly detection. The first hurdle in anomaly detection is in evaluating the anomalies and …

… The set of sustainability-based features proposed to detect the cyberattacks are detailed in …
SUSAN-based anomaly detector in the SWaT testbed. In Section 7, we discuss the framework …