98 search results - page 3 / 20 » Anomaly detection by finding feature distribution outliers |
ICDM
2010
IEEE
13 years 3 months ago
2010
IEEE
The problem of finding outliers in data has broad applications in areas as diverse as data cleaning, fraud detection, network monitoring, invasive species monitoring, etc. While th...
ICDCS
2003
IEEE
13 years 10 months ago
2003
IEEE
With the proliferation of wireless devices, mobile ad hoc networking (MANET) has become a very exciting and important technology due to its characteristics of open medium and dyna...
CCE
2004
13 years 5 months ago
2004
Outliers are observations that do not follow the statistical distribution of the bulk of the data, and consequently may lead to erroneous results with respect to statistical analy...
KDD
2003
ACM
14 years 5 months ago
2003
ACM
Defining outliers by their distance to neighboring examples is a popular approach to finding unusual examples in a data set. Recently, much work has been conducted with the goal o...
ASPLOS
2010
ACM
14 years 5 days ago
2010
ACM
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...