33 search results - page 4 / 7 » Assumption-Free Anomaly Detection in Time Series |
EVOW
2009
Springer
13 years 9 months ago
2009
Springer
In this paper the node-level decision unit of a self-learning anomaly detection mechanism for office monitoring with wireless sensor nodes is presented. The node-level decision uni...
DATAMINE
2007
13 years 5 months ago
2007
Many high level representations of time series have been proposed for data mining, including Fourier transforms, wavelets, eigenwaves, piecewise polynomial models etc. Many researc...
SDM
2009
SIAM
14 years 3 months ago
2009
SIAM
We study non-parametric measures for the problem of comparing distributions, which arise in anomaly detection for continuous time series. Non-parametric measures take two distribu...
ICDM
2007
IEEE
14 years 2 days ago
2007
IEEE
Sensor networks have increased the amount and variety of temporal data available, requiring the definition of new techniques for data mining. Related research typically addresses...
CORR
2011
Springer
13 years 23 days ago
2011
Springer
Forecasting sequences by expert ensembles generally assumes stationary or near-stationary processes; however, in complex systems and many real-world applications, we are frequentl...