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IWANN
1999
Springer
15 years 2 months ago
1999
Springer
A crucial problem in non-linear time series forecasting is to determine its auto-regressive order, in particular when the prediction method is non-linear. We show in this paper tha...
CSDA
2008
14 years 9 months ago
2008
The purpose of this paper is to forecast the time evolution of a binary response variable from an associated continuous time series observed only at discrete time points that usual...
CSSE
2008
IEEE
15 years 4 months ago
2008
IEEE
This paper introduces an adaptive Higher Order Neural Network (HONN) model and applies it in data mining such as simulating and forecasting government taxation revenues. The propo...
KDD
2001
ACM
15 years 10 months ago
2001
ACM
Predictive models developed by applying Data Mining techniques are used to improve forecasting accuracy in the airline business. In order to maximize the revenue on a flight, the ...
CASDMKM
2004
Springer
15 years 3 months ago
2004
Springer
