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» Computing and using residuals in time series models
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NPL
2011
12 years 10 months ago
A Neural Network Scheme for Long-Term Forecasting of Chaotic Time Series
The accuracy of a model to forecast a time series diminishes as the prediction horizon increases, in particular when the prediction is carried out recursively. Such decay is faster...
Pilar Gómez-Gil, Juan Manuel Ramírez...
DASFAA
2008
IEEE
190views Database» more  DASFAA 2008»
14 years 1 months ago
Analysis of Time Series Using Compact Model-Based Descriptions
Abstract. Recently, we have proposed a novel method for the compression of time series based on mathematical models that explore dependencies between different time series. This r...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
NCA
2005
IEEE
14 years 1 months ago
Using Residual Times to Meet Deadlines in M/G/C Queues
In systems where customer service demands are only known probabilistically, there is very little to distinguish between jobs. Therefore, no universal optimum scheduling strategy o...
Sarah Tasneem, Lester Lipsky, Reda A. Ammar, Howar...
SDM
2009
SIAM
291views Data Mining» more  SDM 2009»
14 years 4 months ago
Detection and Characterization of Anomalies in Multivariate Time Series.
Anomaly detection in multivariate time series is an important data mining task with applications to ecosystem modeling, network traffic monitoring, medical diagnosis, and other d...
Christopher Potter, Haibin Cheng, Pang-Ning Tan, S...
COMPGEOM
1997
ACM
13 years 11 months ago
Time-Series Similarity Problems and Well-Separated Geometric Sets
Given a pair of nonidentical complex objects, de ning and determining how similar they are to each other is a nontrivial problem. In data mining applications, one frequently nee...
Béla Bollobás, Gautam Das, Dimitrios...