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User Activities Outliers Detection; Integration of Statistical and Computational Intelligence Techniques
2014
Computational intelligence
In this paper, a hybrid technique for user activities outliers detection is introduced. The hybrid technique consists of a two-stage integration of Principal Component Analysis (PCA) and Fuzzy Rule-Based Systems (FRBS). In the first stage, the Hamming distance is used to measure the differences between different activities. PCA is then applied to the distance measures to find two indices of Hotelling's T 2 and Squared Prediction Error. In the second stage of the process, the calculated indices
doi:10.1111/coin.12045
fatcat:5itxo6cfcfbrljolhcokfzk2de