Sciweavers

98 search results - page 6 / 20
» Anomaly detection by finding feature distribution outliers
Sort
View
KDD
2008
ACM
234views Data Mining» more  KDD 2008»
14 years 8 months ago
Angle-based outlier detection in high-dimensional data
Detecting outliers in a large set of data objects is a major data mining task aiming at finding different mechanisms responsible for different groups of objects in a data set. All...
Hans-Peter Kriegel, Matthias Schubert, Arthur Zime...
KDD
2009
ACM
347views Data Mining» more  KDD 2009»
14 years 8 months ago
Network anomaly detection based on Eigen equation compression
This paper addresses the issue of unsupervised network anomaly detection. In recent years, networks have played more and more critical roles. Since their outages cause serious eco...
Shunsuke Hirose, Kenji Yamanishi, Takayuki Nakata,...
KDD
2010
ACM
250views Data Mining» more  KDD 2010»
13 years 9 months ago
On community outliers and their efficient detection in information networks
Linked or networked data are ubiquitous in many applications. Examples include web data or hypertext documents connected via hyperlinks, social networks or user profiles connected...
Jing Gao, Feng Liang, Wei Fan, Chi Wang, Yizhou Su...
ICPR
2000
IEEE
14 years 8 months ago
Structural Defects: General Approach and Application to Textile Inspection
This paper addresses detection of imperfections in repetitive regular structures (textures). Humans can easily find such defects without prior knowledge of the `good' pattern...
Dmitry Chetverikov
FPL
2005
Springer
119views Hardware» more  FPL 2005»
14 years 1 months ago
Real-Time Feature Extraction for High Speed Networks
With the onset of Gigabit networks, current generation networking components will soon be insufficient for numerous reasons: most notably because existing methods cannot support h...
David Nguyen, Gokhan Memik, Seda Ogrenci Memik, Al...