Title :
Intelligent forecast support system based on information mining
Author_Institution :
Sch. of Mech. Electron. & Inf. Eng., China Univ. of Min. & Technol., Beijing, China
Abstract :
Forecast is a nasty problem under the complicated uncertain information. First, the basic features are analyzed in this paper. The forecast elementary principles and process are also be descriptive. The collection and representation of the data of the uncertain information is also provided. And then the main models and methods of forecast are introduced. Finally the Construction of the Intelligent Forecast Support System Based on Information Mining(IFSSIM) is provided under uncertain information and the main functions are also introduced. The framework and methods in this paper provide new way to forecast under uncertain information.
Keywords :
data mining; forecasting theory; uncertain systems; complicated uncertain information; forecast elementary principles; information mining; intelligent forecast support system; Analytical models; Biological system modeling; Data models; Materials; Mathematical model; Predictive models; Uncertain systems; complicated uncertain; forecast model; information mining; intelligent system;
Conference_Titel :
Networked Computing (INC), 2011 The 7th International Conference on
Conference_Location :
Gyeongsangbuk-do
Print_ISBN :
978-1-4577-1129-9
Electronic_ISBN :
978-89-88678-43-5
