Title :
Data mining model and its application in financial prediction
Author :
Huafeng, Xu ; Qiuhong, Li
Author_Institution :
Henan Univ. of Urban Constr., Pingdingshan, China
Abstract :
This paper focuses on the application of fuzzy correction model in financial forecasting. As the limitations of traditional fuzzy logic model, when forecasting the continuous trend of financial time series, the trend accuracy rate is low. The continuous predictive value of fluctuations is small and can not reflect the future market direction. In this paper, we presents Fuzzy Method of amendment. Test results show that fuzzy correction model for financial forecasting is feasible and effective.
Keywords :
data mining; financial management; forecasting theory; fuzzy logic; time series; data mining; financial forecasting; financial time series; fuzzy correction model; fuzzy logic model; Autoregressive processes; Data mining; Economic forecasting; Fluctuations; Fuzzy logic; Mathematical model; Predictive models; Support vector machines; Technology forecasting; Testing; Data Mining; financial forecasting; fuzzy correction model;
Conference_Titel :
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5821-9
DOI :
10.1109/ICFCC.2010.5497512
