The Design And Implement Of A Data-mining Based Analysis System For Financial Data Master Thesis

With the rapid development of Internet, people have gradually entered the information age, more and people are asked to obtain the data information in all aspects of the higher. Internet data mining refers to from the Internet targeted, professional, accurate data capture, and according to certain rules and criteria for data classification, a process of forming database. The Internet financial data mining system is to let the user, in the face of such Internet financial information resources of massive, complex, can be read from the Internet in real time, quickly capturing and processing of financial data.This thesis focuses on the analysis of Internet data mining and financial work. Put forward the system analysis model based on data mining technology in financial data. The model is based on the financial business applications based on the real-time monitoring, financial data on the designated financial website and extraction, according to data mining rules and screening criteria for data analysis, mining, processing and storage, and with the graphical report form to the show, so that users of financial data can be queried and sampling a variety of flexible form in order to grasp the financial situation at any time. In this thesis, the main work is as follows:1. In-depth study of Internet financial data structure and financial time series data characteristics. Implementation of financial data mining with the data mining technology, ASP.NET, ADO.NET and SQL Server database access technology etc..2. Put forward a system model based on data mining technology of Internet in financial data mining, based on the financial stocks and funds to finance business applications, web data file as mining object, according to the financial time series data extraction rules sequence feature definition data, using regular expressions of smart matching algorithm for data extraction, after data preprocessing data validation, data cleaning, data mining, mining out the effective financial data, then uses the ADO.NET data access technology of the financial data is stored in SQL Server database. The financial data are displayed in a graphical form using web chart technology, also support custom query and a custom display.3. Design and implementation of a data mining based financial data analysis system, the functions of the system include data acquisition, data mining, intelligent rule learning financial data display, report center and system management five big modules. The system using the tools and data analysis model of science, which can generate a variety of general report, provide a variety of data analysis. Realize the information and automation of financial statistics. Provide strong support for the formulation of the financial policy, to provide high quality information service to the public, to further improve the financial decision-making work initiative, scientific, synergy.Finally, Get the system tests and test results show that the system runs well, the designated financial website stock, fund of real time data mining and efficient, personalized display and reach the expected effect.