29 citations · 70 across the 18 of their papers we have counts for
3 papers · 2 filters
Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data (Revised)
Sreelekha Guggilam, Syed M. A. Zaidi, Varun Chandola +1
Most current clustering based anomaly detection methods use scoring schema and thresholds to classify anomalies. These methods are often tailored to target specific data sets with…
Hierarchical Data Reduction and Learning
Prashant Shekhar, Abani Patra
This paper describes a hierarchical learning strategy for generating sparse representations of multivariate datasets. The hierarchy arises from approximation spaces considered at s…
Bayesian Anomaly Detection Using Extreme Value Theory
Sreelekha Guggilam, S. M. Arshad Zaidi, Varun Chandola +1
Data-driven anomaly detection methods typically build a model for the normal behavior of the target system, and score each data instance with respect to this model. A threshold is…