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» Outlier Detection for High Dimensional Data
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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...
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
COMAD
2008
13 years 6 months ago
Disk-Based Sampling for Outlier Detection in High Dimensional Data
We propose an efficient sampling based outlier detection method for large high-dimensional data. Our method consists of two phases. In the first phase, we combine a "sampling...
Timothy de Vries, Sanjay Chawla, Pei Sun, Gia Vinh...
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...
JMLR
2010
153views more  JMLR 2010»
12 years 11 months ago
Feature Extraction for Outlier Detection in High-Dimensional Spaces
This work addresses the problem of feature extraction for boosting the performance of outlier detectors in high-dimensional spaces. Recent years have observed the prominence of mu...
Nguyen Hoang Vu, Vivekanand Gopalkrishnan