In this paper, we introduce a new approach of semisupervised anomaly detection that deals with categorical data. Given a training set of instances (all belonging to the normal class), we analyze the ...

Torres, J.M., Nieto, P.J.G., Alejano, L. and Reyes, A.N. (2011) Detection of Outliers in Gas Emissions from Urban Areas Using Functional Data Analysis. Journal of ...

Moreover, the speed of the data stream imposes to the outliers detection algorithms to be very fast in the data processing, otherwise a significant number of data could be lost. Regarding most of ...