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What is Generalized Local Outlier Detection Framework about?

This paper presents a generalized framework for local outlier detection, providing a theoretical analysis and comparison of existing methods across various domains such as spatial, video, and network data. The authors argue that many outlier detection approaches share similar algorithmic structures and emphasize the importance of clarifying the notion of locality in these methods. By abstracting locality from traditional distance-based concepts, the framework facilitates the development of new algorithms an

Author

Ahu Dede

Language

EN