319 search results - page 3 / 64 » Algorithms for Mining Distance-Based Outliers in Large Datas... |
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
We present an Outlier Detection using Indegree Number (ODIN) algorithm that utilizes k-nearest neighbour graph. Improvements to existing kNN distance -based method are also propos...
KDD
1997
ACM
13 years 9 months ago
1997
ACM
Many classification algorithms are designed to work with datasets that contain only discrete attributes. Discretization is the process of converting the continuous attributes of ...
KDD
2012
ACM
11 years 7 months ago
2012
ACM
Temporal datasets, in which data evolves continuously, exist in a wide variety of applications, and identifying anomalous or outlying objects from temporal datasets is an importan...
KDD
2005
ACM
13 years 10 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...
CORR
2012
Springer
12 years 17 days ago
2012
Springer
In this paper we introduce a new type of pattern – a flipping correlation pattern. The flipping patterns are obtained from contrasting the correlations between items at diffe...