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PAKDD
2009
ACM
153views Data Mining» more  PAKDD 2009»
13 years 11 months ago
Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data
Hans-Peter Kriegel, Peer Kröger, Erich Schube...
DEXA
2009
Springer
151views Database» more  DEXA 2009»
13 years 11 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...
ICDE
2012
IEEE
246views Database» more  ICDE 2012»
11 years 7 months ago
HiCS: High Contrast Subspaces for Density-Based Outlier Ranking
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
Fabian Keller, Emmanuel Müller, Klemens B&oum...
SIGMOD
2001
ACM
142views Database» more  SIGMOD 2001»
14 years 4 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
CORR
2010
Springer
64views Education» more  CORR 2010»
13 years 4 months ago
High-Dimensional Matched Subspace Detection When Data are Missing
We consider the problem of deciding whether a highly incomplete signal lies within a given subspace. This problem, Matched Subspace Detection, is a classical, wellstudied problem w...
Laura Balzano, Benjamin Recht, Robert Nowak