Applications and Techniques of Outlier Detection

Outlier detection plays a vital role in many data-mining applications. Noisy data is a significant problem which is being researched in diverse fields of research and application domains. Many outlier detection techniques have been developed specific to certain application domains, while some techniques are more generic. A research on crime and terrorist activities are some of the application domains are being researched with strict confidentiality. The techniques and results of such techniques are not readily forthcoming. In this paper, various outlier detection techniques are discussed in a structured and generic description. With this exercise, the researchers have attain a better understanding of the different directions of research on outlier analysis. Then, the applications of outlier detection are also screened out in a better and precise way. This paper will be useful for beginners in this research field.