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2007 IEEE/SP 14th Workshop on Statistical Signal Processing
We consider an anomaly detection problem, wherein a combination of typical and anomalous data are observed and it is necessary to identify the anomalies in this particular dataset without recourse to labeled exemplars. We take as our goal to produce an annotated ranking of the observations, indicating the relative priority for each to be examined further as a possible anomaly, while making no assumptions on the distribution of typical data. We propose a framework in which each observation isdoi:10.1109/ssp.2007.4301254 fatcat:76wezjttizayfa6kcb2wmpx6du