We present an Outlier Detection using Indegree Number (ODIN) algorithm that utilizes k-nearest neighbour graph. Improvements to existing kNN distance -based method are also propos...
In this paper, we experimentally evaluated the effect of outlier detection methods to improve the prediction performance of fault-proneness models. Detected outliers were removed ...
Recently, the Support Vector Regression (SVR) has been applied in the financial time series prediction. The financial data are usually highly noisy and contain outliers. Detecting ...
Informal analysis of many usability tests suggests that there is regularly one participant that is substantially slower than all the others. Moreover, such outliers are more extre...