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» Algorithms for Spatial Outlier Detection
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MLDM
2007
Springer
14 years 1 months ago
Outlier Detection with Kernel Density Functions
Abstract. Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel unsupervised algorithm for outlier detec...
Longin Jan Latecki, Aleksandar Lazarevic, Dragolju...
ISBI
2004
IEEE
14 years 8 months ago
Outlier Detection for Robust Region-Based Estimation of the Hemodynamic Response Function in Event-Related fMRI
In functional Magnetic Resonance Imaging (fMRI), the Hemodynamic Response Function (HRF) represents the impulse response of the neurovascular system. Its identification is essenti...
Philippe Ciuciu, Alexis Roche, Jérôme...
SIGMOD
2001
ACM
142views Database» more  SIGMOD 2001»
14 years 7 months ago
Outlier Detection for High Dimensional Data
The outlier detection problem has important applications in the eld of fraud detection, network robustness analysis, and intrusion detection. Most such applications are high dimen...
Charu C. Aggarwal, Philip S. Yu
COLCOM
2008
IEEE
14 years 2 months ago
Security through Collaboration in MANETs
It is well understood that Mobile Ad Hoc Networks (MANETs) are extremely susceptible to a variety of attacks, and traditional security mechanisms do not work well. Many security sc...
Wenjia Li, James Parker, Anupam Joshi
DEXA
2009
Springer
151views Database» more  DEXA 2009»
14 years 2 months ago
Detecting Projected Outliers in High-Dimensional Data Streams
Abstract. In this paper, we study the problem of projected outlier detection in high dimensional data streams and propose a new technique, called Stream Projected Ouliter deTector ...
Ji Zhang, Qigang Gao, Hai H. Wang, Qing Liu, Kai X...