Similarity Kernels for Nearest Neighbor-Based Outlier Detection

Outlier detection is an important research topic that focuses on detecting abnormal information in data sets and processes. This paper addresses the problem of determining which class of kernels should be used in a geometric framework for nearest neighbor-based outlier detection. It introduces the c...

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Bibliographic Details
Published inAdvances in Intelligent Data Analysis IX pp. 159 - 170
Main Authors Ramirez-Padron, Ruben, Foregger, David, Manuel, Julie, Georgiopoulos, Michael, Mederos, Boris
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2010
SeriesLecture Notes in Computer Science
Subjects
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