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ENGL
2006
84views more  ENGL 2006»
13 years 8 months ago
A framework for neural network to make business forecasting with hybrid VAR and GA components
Applying Vector Autoregression (VAR) and genetic algorithm (GA) in hybrid systems with neural network can improve the NN's prediction capability. Two case studies have been ca...
Sio Iong Ao
SIGPRO
2002
72views more  SIGPRO 2002»
13 years 7 months ago
Modeling electricity loads in California: ARMA models with hyperbolic noise
In this paper we address the issue of modeling and forecasting electricity loads. We apply a two-step procedure to a series of system-wide loads from the California power market. ...
J. Nowicka-Zagrajek, R. Weron
INCDM
2009
Springer
199views Data Mining» more  INCDM 2009»
14 years 2 months ago
Driver-Moderator Method for SKU Sales Forecasting
We develop a method to forecast stock keeping unit sales that is accurate, transparent and consistent in handling similar situations. We leverage the marketing literature to define...
Özden Gür Ali
IJCNN
2007
IEEE
14 years 2 months ago
Dynamic Pooling for the Combination of Forecasts generated using Multi Level Learning
— In this paper we provide experimental results and extensions to our previous theoretical findings concerning the combination of forecasts that have been diversified by three ...
Silvia Riedel, Bogdan Gabrys
TVCG
2011
198views more  TVCG 2011»
13 years 2 months ago
Forecasting Hotspots - A Predictive Analytics Approach
—Current visual analytics systems provide users with the means to explore trends in their data. Linked views and interactive displays provide insight into correlations among peop...
Ross Maciejewski, Ryan Hafen, Stephen Rudolph, Ste...