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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...
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
ICDE
2009
IEEE
170views Database» more  ICDE 2009»
13 years 11 months ago
On High Dimensional Projected Clustering of Uncertain Data Streams
— In this paper, we will study the problem of projected clustering of uncertain data streams. The use of uncertainty is especially important in the high dimensional scenario, bec...
Charu C. Aggarwal
VLDB
2004
ACM
126views Database» more  VLDB 2004»
13 years 9 months ago
A Framework for Projected Clustering of High Dimensional Data Streams
Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Phil...
ICDE
2008
IEEE
141views Database» more  ICDE 2008»
14 years 5 months ago
SPOT: A System for Detecting Projected Outliers From High-dimensional Data Streams
In this paper, we present a new technique, called Stream Projected Ouliter deTector (SPOT), to deal with outlier detection problem in high-dimensional data streams. SPOT is unique ...
Ji Zhang, Qigang Gao, Hai H. Wang