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0001. The present invention generally relates to data analysis and more particularly, to outlier detection. 0002 Outliers are points that are highly unlikely to occur, given the data distribution. In other words, an outlier is a data instance that does not comply with the underlying distribu tion.

0003. Outlier detection is the problem of finding the out liers in a dataset. As available data increases, it is more impor tant and challenging to automatically detect these unusual observations. An outlier can indicate noisy data, an interest ing pattern, or malicious content. In any case, the information is valuable, which is why outlier detection has been applied to many real-life problems. Some of these applications are data cleaning, fraud detection, exploration in Scientific databases, industrial process control, new interesting space object dis covery, bio-Surveillance, and airline safety. 0004 Previously, research in outlier detection …