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ICDM
2009
IEEE
150views Data Mining» more  ICDM 2009»
13 years 2 months ago
Filtering and Refinement: A Two-Stage Approach for Efficient and Effective Anomaly Detection
Anomaly detection is an important data mining task. Most existing methods treat anomalies as inconsistencies and spend the majority amount of time on modeling normal instances. A r...
Xiao Yu, Lu An Tang, Jiawei Han
IDA
2007
Springer
13 years 4 months ago
Anomaly detection in data represented as graphs
An important area of data mining is anomaly detection, particularly for fraud. However, little work has been done in terms of detecting anomalies in data that is represented as a g...
William Eberle, Lawrence B. Holder
ICDM
2007
IEEE
199views Data Mining» more  ICDM 2007»
13 years 11 months ago
Discovering Structural Anomalies in Graph-Based Data
The ability to mine data represented as a graph has become important in several domains for detecting various structural patterns. One important area of data mining is anomaly det...
William Eberle, Lawrence B. Holder
COMCOM
2006
121views more  COMCOM 2006»
13 years 4 months ago
Application of anomaly detection algorithms for detecting SYN flooding attacks
Abstract-- We investigate statistical anomaly detection algorithms for detecting SYN flooding, which is the most common type of Denial of Service (DoS) attack. The two algorithms c...
Vasilios A. Siris, Fotini Papagalou
MM
2010
ACM
196views Multimedia» more  MM 2010»
13 years 5 months ago
Non-parametric anomaly detection exploiting space-time features
In this paper a real-time anomaly detection system for video streams is proposed. Spatio-temporal features are exploited to capture scene dynamic statistics together with appearan...
Lorenzo Seidenari, Marco Bertini