Titlebook: Outlier Detection: Techniques and Applications; A Data Mining Perspe N. N. R. Ranga Suri,Narasimha Murty M,G. Athithan Book 2019 Springer N

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IntroductionThis chapter introduces the notion of outlier and its essential properties. It presents a characterization of outliers based on their size, diversity and role in a given context. It also provides a theoretical perspective on the significance of outliers along with the practical need for their detection.

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Analyzing Dynamic NetworksThis chapter highlights the importance of analyzing dynamic networks and gives details of various applications requiring this capability. It also furnishes a few recent algorithmic approaches for analyzing such networks in a pragmatic manner.

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N. N. R. Ranga Suri,Narasimha Murty M,G. AthithanProvides a comprehensive survey of the outlier detection problem including a list of issues, challenges and relevant literature.Presents the latest methods for outlier detection with a special focus o

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Research Issues in Outlier Detectionetailed survey of the available literature on this problem with respect to the research issues identified. Basically, this chapter sets the direction for the material presented in the rest of the chapters of this book.

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N. N. R. Ranga Suri,Narasimha Murty M,G. Athithance modeling. The optimization of generation and trading portfolios under uncertainty is discussed with particular focus on CHP and is linked to risk management. Here the concept of integral earnings at risk is developed to provide a theoretically sound combination of value at risk and profit at risk

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N. N. R. Ranga Suri,Narasimha Murty M,G. Athithance modeling. The optimization of generation and trading portfolios under uncertainty is discussed with particular focus on CHP and is linked to risk management. Here the concept of integral earnings at risk is developed to provide a theoretically sound combination of value at risk and profit at risk