%0 Journal Article
%T Comparative Study of Various Techniques on Outlier Detection
%A K
%A Varma Mamta and Rajesh Nigam
%J International Journal of Electronics Communication and Computer Engineering
%D 2011
%I IJECCE
%X Diverse patterns from web data, commonly referred to as web outliers or exceptional cases or noise; exist in many real-world databases. Detection of such outliers is important for numerous applications, such as detecting criminal activities in E-commerce. Outliers are data objects with different characteristics compared to other data objects. Formal definition of outliers is given by D.Hawkins. as ˇ°An Outlier is an observation that deviates so much from other observations so that it arouses suspicion that it is generated by a different mechanismˇ±. Detection of such outliers (outlier mining) is important for numerous applications, such as detecting criminal activities in E-commerce, video surveillance, weather prediction, intrusion detection and pharmaceutical research. This paper has focus on comparative study of various techniques on Outlier Detection.
%U http://www.ijecce.org/administrator/components/com_jresearch/files/publications/5PA.pdf