18 search results - page 1 / 4 » On Evaluation of Outlier Rankings and Outlier Scores |
SDM
2012
SIAM
11 years 7 months ago
2012
SIAM
Outlier detection research is currently focusing on the development of new methods and on improving the computation time for these methods. Evaluation however is rather heuristic,...
ICDE
2012
IEEE
11 years 7 months ago
2012
IEEE
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
ICDM
2006
IEEE
13 years 11 months ago
2006
IEEE
Current outlier detection schemes typically output a numeric score representing the degree to which a given observation is an outlier. We argue that converting the scores into wel...
KAIS
2007
13 years 4 months ago
2007
Abstract. Outlier detection is concerned with discovering exceptional behaviors of objects. Its theoretical principle and practical implementation lay a foundation for some importa...
ICTAI
2006
IEEE
13 years 11 months ago
2006
IEEE
The discovery of objects with exceptional behavior is an important challenge from a knowledge discovery standpoint and has attracted much attention recently. In this paper, we pre...