Stock Price Index Prediction Based on Mobile Data Mining

Wireless networks and mobile devices, which had brought lots of convenience to our daily life and made us much easier to get information any time and any where, now had motivates the needs for efficient tools analyzing data streams. Data mining technology turned into a valid tool for us to make scientific decision. Data mining can transform vast data resource into available knowledge and information resource. A price index forecasting approach is proposed based on data mining in mobile environment, it combine principal component analysis (PCA), probabilistic neural networks (PNN) and general regression neural network (GRNN), and can predict the stock price index in small sample. It applies the marketing stock as test samples, and validates this proposed approach.