Mining Based ID3 Maximum Multifactor Dimensionality Posteriori Method for Efficient Survival on Financial Time Series Detection

Abstract

The forecast exchange rate has become more and more attention, especially because of the important financial issues, inherent difficulties and practical applications; many attempts to improve the nonlinear model to obtain accurate predictions. Performance-based mining ID3 maximum number of dimensions of the multi-element method close. Among them, the neural network model is based on data mining to encourage results. This gift is one step of their performance. Several methods, radiation-based function, dynamic neural networks and fuzzy systems, discussion and recommendations, including a multi-element dimensions progeny. It improves neural networks and fuzzy models used to predict the exchange rate and a multi-step ahead forecast. Throughout the investigation process, it will be evaluated using the actual value per day of the exchange rate and the British pound in U.S. dollars.