Sciweavers

33 search results - page 7 / 7
» Assumption-Free Anomaly Detection in Time Series
Sort
View
TON
2010
161views more  TON 2010»
12 years 11 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»
13 years 10 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...
KDD
2004
ACM
211views Data Mining» more  KDD 2004»
14 years 5 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...