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ICANN
2005
Springer
14 years 29 days ago
Robust Structural Modeling and Outlier Detection with GMDH-Type Polynomial Neural Networks
Abstract. The paper presents a new version of a GMDH type algorithm able to perform an automatic model structure synthesis, robust model parameter estimation and model validation i...
Tatyana I. Aksenova, Vladimir Volkovich, Alessandr...
PAKDD
2009
ACM
153views Data Mining» more  PAKDD 2009»
14 years 2 months ago
Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data
Hans-Peter Kriegel, Peer Kröger, Erich Schube...
ICDE
2007
IEEE
134views Database» more  ICDE 2007»
14 years 1 months ago
Outlier Detection for Fine-grained Load Balancing in Database Clusters
Recent industry trends towards reducing the costs of ownership in large data centers emphasize the need for database system techniques for both automatic performance tuning and ef...
Jin Chen, Gokul Soundararajan, Madalin Mihailescu,...
CSDA
2008
158views more  CSDA 2008»
13 years 7 months ago
Outlier identification in high dimensions
A computationally fast procedure for identifying outliers is presented, that is particularly effective in high dimensions. This algorithm utilizes simple properties of principal c...
Peter Filzmoser, Ricardo A. Maronna, Mark Werner
ASPLOS
2010
ACM
14 years 2 months ago
Accelerating the local outlier factor algorithm on a GPU for intrusion detection systems
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
Malak Alshawabkeh, Byunghyun Jang, David R. Kaeli