81 search results - page 1 / 17 » Mining top-n local outliers in large databases |
SIGMOD
2000
ACM
13 years 8 months ago
2000
ACM
In this paper, we propose a novel formulation for distance-based outliers that is based on the distance of a point from its kth nearest neighbor. We rank each point on the basis o...
KDD
2001
ACM
13 years 8 months ago
2001
ACM
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
Many outlier detection methods do not merely provide the decision for a single data object being or not being an outlier but give also an outlier score or “outlier factor” sig...
KDD
2005
ACM
13 years 9 months ago
2005
ACM
Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...
DPD
2002
13 years 4 months ago
2002
Data mining is a new, important and fast growing database application. Outlier (exception) detection is one kind of data mining, which can be applied in a variety of areas like mon...