Auto Industry Business Platform Based On Data Mining Research And Realization

Internet technique emergence, makes the e-business possible, and not only consumedly expanding the bargain scope, but also availably shortening bargain time, lowering the bargain cost. How the professional enterprises share profit to use the professional information, and ask for help to realize the purchase, produce, manage with the e-business, has already become the urgent need. Along with this kind of require, district and professional e-business projects also have been launched one after another. For this reason, developing the e-business platform for the automobile parts and motorcycle parts (APMP) industry has the count for much meaning.Here on this foundation, for the sake of the developing trend of automobile parts and motorcycle parts industry and the characteristics of the modern market, the increase of the business enterprise's market competition and the potential ability, the automobile parts and motorcycle parts industrial business platform will from more deeply, more widely come up to distribute the modern network technique to bring and make use of the data mining to set up the professional data warehouse, and provide the plentiful information to analyze, and provide the abundant information to support with the strategy management for decision maker.The author advocates establishing APMP industrial e-business platform, and billing data warehouse by using data mining. The main content of this thesis shows as follows:Chapter 1 is an introduction. The author looks back the e-business's development firstly, and analyzes the e-business to influence manufacture. And according to analyzed the current business enterprise, forecasts the e-business's development trend of this industry, and discusses the purpose and the meaning of researching this lesson. On the foundation of further analysis to the present condition of professional business platform, the author clarifies the research background of APMP business platform and main content of this thesis.In chapter 2, the author briefly introduces the Business characteristic of APMP industry, and does some analysis to the professional B2B e-business platform's frame. And some important point and thought has been discussed at setting up the manufacturing industry B2B e-business platform. And finally the technique and programming method torealize the platform has been introduced.In chapter 3, firstly, the concept and the frame of APMP industrial data warehouse has been introduced in brief. And the technique and the model of data mining has been introduced, and an algorithm ID3 of the data decision tree also has been introduced.In chapter 4, the total construction and design thought of establishing APMP business platform has been introduced , which including the product's unified code, bargain process, bid platform, and some other techniques and services.In chapter 5, the author introduces the designing way and frame of APMP data warehouse, and establishes a multi-dimension snowflake-star model, which analyzes the relation between business date and these dimensions. A decision tree by using for ID3 algorithm has been established , which evaluates the customer's credit.In chapter 6, a business example has been given to demonstrate the flow, the APMP platform's safety problem has been established, and the hardware and software solution for e-business has been introduced. The author makes use of the windows2000 server to build the secure exchange platform, and adopted some secure methods to the platform developed by ASP.In chapter 7, all achievements of this thesis are summarized, and the further work is given.