Outlier Detection: Applications And Techniques
Outliers once upon a time regarded as noisy data in statistics, has turned out to be an important 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. Some application domains are being researched in strict confidentiality such as research on crime and terrorist activities. The techniques and results of such techniques are not readily forthcoming. A number of surveys, research and review articles and books cover outlier detection techniques in machine learning and statistical domains individually in great details. In this paper we make an attempt to bring together various outlier detection techniques, in a structured and generic description. With this exercise, we hope to attain a better understanding of the different directions of research on outlier analysis for ourselves as well as for beginners in this research field who could then pick up the links to different areas of applications in details.
Keywords: Outlier Applications, Outliers, Outlier Detection
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ABOUT THE AUTHORS
Karanjit Singh
Col Karanjit Singh is a post graduate from IIT Kharagpur in Computer Science and Data Processing. Currently he is working as a Production Engineer ( Statistics, Coordination and Resources) at HQ Base Workshop Group EME, the Corporate HQ for Army Base Workshops in India. His continued interest in the field of Data Processing is the motivation behind this rapidly evolving field of Data Mining with special focus on Outlier Analysis.
Shuchita Upadhyaya
Dr. Shuchita Upadhyaya is a Postgraduate and Ph.D in Computer Science and Applications from Kurukshetra University, India. She has 23 years of teaching and research experience. She is presently serving as Associate Professor at Department of Computer Science and Applications, Kurukshetra University. Her areas of research include Computer Networking, Software Engineering and Data Mining.
Karanjit Singh
Col Karanjit Singh is a post graduate from IIT Kharagpur in Computer Science and Data Processing. Currently he is working as a Production Engineer ( Statistics, Coordination and Resources) at HQ Base Workshop Group EME, the Corporate HQ for Army Base Workshops in India. His continued interest in the field of Data Processing is the motivation behind this rapidly evolving field of Data Mining with special focus on Outlier Analysis.
Shuchita Upadhyaya
Dr. Shuchita Upadhyaya is a Postgraduate and Ph.D in Computer Science and Applications from Kurukshetra University, India. She has 23 years of teaching and research experience. She is presently serving as Associate Professor at Department of Computer Science and Applications, Kurukshetra University. Her areas of research include Computer Networking, Software Engineering and Data Mining.
