29 search results - page 2 / 6 » A Survey of Outlier Detection Methodologies |
PVLDB
2010
13 years 3 months ago
2010
Detecting outliers in data is an important problem with interesting applications in a myriad of domains ranging from data cleaning to financial fraud detection and from network i...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
Outlier detection can uncover malicious behavior in fields like intrusion detection and fraud analysis. Although there has been a significant amount of work in outlier detection, ...
ICML
2007
IEEE
14 years 6 months ago
2007
IEEE
We develop a mixture-based approach to robust density modeling and outlier detection for experimental multivariate data that includes measurement error information. Our model is d...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
This paper studies the outlier detection problem from the point of view of penalized regressions. Our regression model adds one mean shift parameter for each of the n data points....
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
We achieve two goals in this paper: (1) to build a novel appearance-based object representation that takes into account variations in contrast often found in training images; (2) ...