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» Assumption-Free Anomaly Detection in Time Series
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TON
2010
161views more  TON 2010»
14 years 4 months ago
Investigating Self-Similarity and Heavy-Tailed Distributions on a Large-Scale Experimental Facility
Abstract--After the seminal work by Taqqu et al. relating selfsimilarity to heavy-tailed distributions, a number of research articles verified that aggregated Internet traffic time...
Patrick Loiseau, Paulo Gonçalves, Guillaume...
PKDD
2005
Springer
159views Data Mining» more  PKDD 2005»
15 years 2 months ago
Fast Burst Correlation of Financial Data
We examine the problem of monitoring and identification of correlated burst patterns in multi-stream time series databases. Our methodology is comprised of two steps: a burst dete...
Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, Phil...
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KDD
2004
ACM
211views Data Mining» more  KDD 2004»
15 years 9 months ago
Towards parameter-free data mining
Most data mining algorithms require the setting of many input parameters. Two main dangers of working with parameter-laden algorithms are the following. First, incorrect settings ...
Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) R...