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» On rank tests for shift detection in time series
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KDD
2000
ACM
115views Data Mining» more  KDD 2000»
13 years 11 months ago
Mining asynchronous periodic patterns in time series data
Periodicy detection in time series data is a challenging problem of great importance in many applications. Most previous work focused on mining synchronous periodic patterns and d...
Jiong Yang, Wei Wang 0010, Philip S. Yu
SIMPRA
2011
13 years 2 months ago
Estimation of linear trend onset in time series
We propose a method to detect the onset of linear trend in a time series and estimate the change point T from the profile of a linear trend test statistic, computed on consecutive...
Vafeiadis Thanasis, Bora-Senta Efthimia, Kugiumtzi...
IPPS
2007
IEEE
14 years 1 months ago
Recurrent neural networks towards detection of SQL attacks
In the paper we present a new approach based on application of neural networks to detect SQL attacks. SQL attacks are those attacks that take advantage of using SQL statements to ...
Jaroslaw Skaruz, Franciszek Seredynski
ICASSP
2011
IEEE
12 years 11 months ago
Modified embedding for multi-regime detection in nonstationary streaming data
Many practical data streams are typically composed of several states known as regimes. In this paper, we invoke phase space reconstruction methods from non-linear time series and ...
Evan Kriminger, José Carlos Príncipe...
JASIS
2010
121views more  JASIS 2010»
13 years 5 months ago
Linear time series models for term weighting in information retrieval
Common measures of term importance in information retrieval (IR) rely on counts of term frequency; rare terms receive higher weight in document ranking than common terms receive. ...
Miles Efron