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» A new evolutionary method for time series forecasting
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TKDE
2010
151views more  TKDE 2010»
13 years 6 months ago
Dictionary-Based Compression for Long Time-Series Similarity
—Long time-series datasets are common in many domains, especially scientific domains. Applications in these fields often require comparing trajectories using similarity measure...
Willis Lang, Michael D. Morse, Jignesh M. Patel
IGARSS
2010
13 years 5 months ago
A new global Snow Extent product based on ATSR-2 and AATSR
The ESA project GlobSnow develops products and services for snow extent and snow water equivalent. The time series of Snow Extent (SE) products will cover the whole seasonally sno...
Rune Solberg, Bjorn Wangensteen, Jostein Amlien, H...
ESANN
2001
13 years 9 months ago
Input data reduction for the prediction of financial time series
Prediction of financial time series using artificial neural networks has been the subject of many publications, even if the predictability of financial series remains a subject of ...
Amaury Lendasse, John Aldo Lee, Eric de Bodt, Vinc...
KDD
2005
ACM
160views Data Mining» more  KDD 2005»
14 years 8 months ago
Optimizing time series discretization for knowledge discovery
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
Alfred Ultsch, Fabian Mörchen
MICCAI
2007
Springer
14 years 8 months ago
Towards an Identification of Tumor Growth Parameters from Time Series of Images
In cancer treatment, understanding the aggressiveness of the tumor is essential in therapy planning and patient follow-up. In this article, we present a novel method for quantifyin...
Ender Konukoglu, Olivier Clatz, Pierre-Yves Bondia...