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DATAMINE
2006
164views more  DATAMINE 2006»
13 years 7 months ago
Fast Distributed Outlier Detection in Mixed-Attribute Data Sets
Efficiently detecting outliers or anomalies is an important problem in many areas of science, medicine and information technology. Applications range from data cleaning to clinica...
Matthew Eric Otey, Amol Ghoting, Srinivasan Partha...
ICDM
2009
IEEE
223views Data Mining» more  ICDM 2009»
14 years 2 months ago
Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis
Abstract -- Detection of execution anomalies is very important for the maintenance, development, and performance refinement of large scale distributed systems. Execution anomalies ...
Qiang Fu, Jian-Guang Lou, Yi Wang, Jiang Li
ICDM
2005
IEEE
271views Data Mining» more  ICDM 2005»
14 years 1 months ago
HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence
In this work, we introduce the new problem of finding time series discords. Time series discords are subsequences of a longer time series that are maximally different to all the r...
Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu
CORR
2010
Springer
206views Education» more  CORR 2010»
13 years 7 months ago
Detecting Anomalous Process Behaviour using Second Generation Artificial Immune Systems
Abstract. Artificial immune systems (AISs) are problem-solving systems inspired by the biological immune system. They have been successfully applied to a number of problem domains ...
Jamie Twycross, Uwe Aickelin, Amanda M. Whitbrook
CVPR
2010
IEEE
14 years 3 months ago
Chaotic Invariants of Lagrangian Particle Trajectories for Anomaly Detection in Crowded Scenes
A novel method for crowd flow modeling and anomaly detection is proposed for both coherent and incoherent scenes. The novelty is revealed in three aspects. First, it is a unique ut...
Shandong Wu, Brian E. Moore, and Mubarak Shah