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» A new evolutionary method for time series forecasting
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MLDM
2009
Springer
14 years 2 months ago
Memory-Based Modeling of Seasonality for Prediction of Climatic Time Series
The paper describes a method for predicting climate time series that consist of significant annual and diurnal seasonal components and a short-term stockastic component. A memory...
Daniel Nikovski, Ganesan Ramachandran
WWW
2009
ACM
14 years 8 months ago
A search-based method for forecasting ad impression in contextual advertising
Contextual advertising (also called content match) refers to the placement of small textual ads within the content of a generic web page. It has become a significant source of rev...
Xuerui Wang, Andrei Z. Broder, Marcus Fontoura, Va...
ESANN
2008
13 years 9 months ago
A Method for Time Series Prediction using a Combination of Linear Models
This paper presents a new approach for time series prediction using local dynamic modeling. The proposed method is composed of three blocks: a Time Delay Line that transforms the o...
David Martínez-Rego, Oscar Fontenla-Romero,...
GFKL
2005
Springer
133views Data Mining» more  GFKL 2005»
14 years 1 months ago
Finding Persisting States for Knowledge Discovery in Time Series
Abstract. Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the ...
Fabian Mörchen, Alfred Ultsch
SIGMOD
2007
ACM
186views Database» more  SIGMOD 2007»
14 years 7 months ago
An efficient and accurate method for evaluating time series similarity
A variety of techniques currently exist for measuring the similarity between time series datasets. Of these techniques, the methods whose matching criteria is bounded by a specifi...
Michael D. Morse, Jignesh M. Patel