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» Algorithms for Spatial Outlier Detection
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MOBIHOC
2007
ACM
14 years 7 months ago
Outlier detection in sensor networks
Outlier detection has many important applications in sensor networks, e.g., abnormal event detection, animal behavior change, etc. It is a difficult problem since global informati...
Bo Sheng, Qun Li, Weizhen Mao, Wen Jin
ICDM
2008
IEEE
176views Data Mining» more  ICDM 2008»
14 years 2 months ago
Inlier-Based Outlier Detection via Direct Density Ratio Estimation
We propose a new statistical approach to the problem of inlier-based outlier detection, i.e., finding outliers in the test set based on the training set consisting only of inlier...
Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi...
KDD
2006
ACM
165views Data Mining» more  KDD 2006»
14 years 8 months ago
Outlier detection by sampling with accuracy guarantees
An effective approach to detect anomalous points in a data set is distance-based outlier detection. This paper describes a simple sampling algorithm to efficiently detect distance...
Mingxi Wu, Chris Jermaine
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
14 years 8 months ago
Detecting outliers using transduction and statistical testing
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, ...
Daniel Barbará, Carlotta Domeniconi, James ...
IROS
2008
IEEE
156views Robotics» more  IROS 2008»
14 years 2 months ago
Cross-country obstacle detection: Space-variant resolution and outliers removal
Abstract— The unstructured nature of cross-country environments poses a great deal of challenges to obstacle detection algorithms. This paper presents an algorithm able to perfor...
Pedro Santana, Paulo Santos, Luís Correia, ...