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ICPR
2004
IEEE
15 years 13 hour ago
Outlier Detection Using k-Nearest Neighbour Graph
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...
Ismo Kärkkäinen, Pasi Fränti, Ville...
AICS
2009
13 years 8 months ago
Analysis of the Effect of Unexpected Outliers in the Classification of Spectroscopy Data
Multi-class classification algorithms are very widely used, but we argue that they are not always ideal from a theoretical perspective, because they assume all classes are characte...
Frank G. Glavin, Michael G. Madden
ICMLA
2004
14 years 9 days ago
Outlier detection and evaluation by network flow
Detecting outliers is an important topic in data mining. Sometimes the outliers are more interesting than the rest of the data. Outlier identification has lots of applications, su...
Ying Liu, Alan P. Sprague
PAKDD
2009
ACM
149views Data Mining» more  PAKDD 2009»
14 years 3 months ago
A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data
Detecting outliers which are grossly different from or inconsistent with the remaining dataset is a major challenge in real-world KDD applications. Existing outlier detection met...
Ke Zhang, Marcus Hutter, Huidong Jin
IJAIT
2008
88views more  IJAIT 2008»
13 years 11 months ago
Outrank: a Graph-Based Outlier Detection Framework Using Random Walk
H. D. K. Moonesinghe, Pang-Ning Tan