Exact(1)
Currently, anomaly detection methods include anomaly detection based on classification, anomaly detection based on the nearest neighbor method, anomaly detection based on clustering, statistical anomaly detection, anomaly detection based on information theory, spectral theory anomaly detection, and so on [1].
Similar(59)
In this classification, anomalies of the appendix are classified by number (e.g., agenesis, duplication, and triplet) and shape (e.g., horseshoe), while anomalies of the horseshoe appendix are further classified by the disposal of the mesentery and the location of the orifice.
We demonstrate that the bispectrum, a signal processing tool that has so far been used in the area of image processing and acoustic signals, can be exploited to accurately characterise traffic volumes per transport protocol, and can therefore contribute to fine-grained network operations tasks such as application classification and anomaly detection.
Topics covered in data mining include association discovery, clustering, classification, and anomaly detection.
Shilton et al. [16] propose a SVM approach to multiclass classification and anomaly detection in wireless sensor networks.
There are two categories under this misuse detection classification and anomaly detection.
This book is best remembered for its stylish demonstration of the ways in which all schemes of classification produce anomalies: whether the pangolin for the Lele, or the God incarnate of Catholic theology.
In general, the robustness to malfunctions was increased by implementing an automatic classification of anomalies in different levels relative to the seriousness of the error.
Fig. 14 Classification of anomaly-based detection techniques [76].
Classification-based anomaly detection techniques operate under either one-class classifier or multi-class classifier.
Classification-based anomaly detection techniques operate in a similar two-phase fashion.
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