Design And Implementation Of Financial Open Platform Based On Data Mining

With the development of the Internet finance, consumers have the higher request for data, not only need the raw data, they want more about the trend and what goes on behind the scenes. The system aims at making data and information visual, first getting the latest information from fund managers and analysts in the financial industry, then do the data mining on the information of research report and announcement, finally conclude the final intelligence to provide consumers with better advice for financial investment. At the same time, the system will make the analyzed data available to other organizations, make data more reliable.This paper focuses on two sides, one is about big data and text information handling, the other is about information display. First make information visual, then take the data as the reference standard for financial investment. When the size of the information and accuracy are validated by the market, the system will make prediction using mathematical investment model, provide consumers with financial investment recommendations. At the same time establish an authoritative community for fund managers and analysts to exchange the opinion. The project consists of information acquisition, information handling, forecast decision, community and information display. Information handling divides into three parts, file segementation, association information mining and stock classification. Author is responsible for the analysis, design, implementation and test for full or part of these five parts. This paper demonstrates a web-based application development instance. Use big data technologies, such as MapReduce of Hadoop to realize parallel computation and realize stock prediction algorithm. Also use the data mining algorithm for potential information analysis.After the launch of the project, the expected effect has been reached by the feedback of the user. In the first phase full function of information acquisition, community and information display, part of function of information handling, forecast decision have been completed. The next phase will continue implementing other modules.