Application And Research Of Data Mining In Analysis Of Securities

The data mining is also called the knowledge discovery in database, it discovers from large quaintly of data and find authentic, novel and effective model that can be comprehended by people. The data mining finds useful information from data of large quantity to support for reasonable decision-making. Mining data from large amounts of data to extract hidden in the data after the useful information for people to the correct policy decision to provide a lot of help.China's securities industry as an earlier application of information technology industry has been a better transaction processing system. Years of application also makes the securities industry has accumulated large amounts of data, which implied a large number of valuable information. How to make use of these data, deep-level mining, information, decision-making for investment in securities services, and the securities industry research has become a pressing task.Firstly, this paper introduced data mining technology and the development of basic principles, discussed the data mining technology in the securities industry of significance.Secondly, the paper proposed a set of data collection, conversion and mining data collected in one of the mining systems, and its main function of a more detailed briefing.Thirdly, the primary methods of stock investment analysis are fundamental analysis, technical analysis and portfolio investment analysis. Based on analyzing the applicability and limitation of these methods, the paper is applying the cluster analysis in the stock investment, and pointing out it is a feasible and effective way to give advices to stock investment. Cluster analysis firstly looks into the industry factor, company factor, profitability and pullulating of each stock, so people can discover the investment value through stock' immanent value which is decided by their fundamental characters. Together the similar stock, a synthetic evaluation index system is erected to measure the similarity of stock ail-roundly and objectively. Cluster analysis can help investors hold the whole character of stocks, make certain of investing scale and suppose the possible variation of stock price. So it will be easier for investors to choose investing occasion.Finally, the paper Mining data acquisition system for the overall debugging, and the results are analyzed, the next step of the concrete work.