Data Warehouse Design And Implementation

The dissertation is centered on the design and realization in the process of highevel management (knowledge management) and present preliminary studies on practice such data mining, KDD,DSS etc. The main work are as follows: The dissertation presents the interpretation of definition, frame and components about data warehouse and studies on data integrated and knowledge integrated. 2. Give a more detailed interpretation of data warehouse theory, development trend and association technique which design data warehouse. There are differences between data warehouse and DBS. Data warehouse is based on the theory of DBS. Besides it has new application. It provides reliable theory basis for the purpose of mining more valuable information in large DBS. 3. As for the network of multilatform the dissertation presents the data structure about multiimensional problem, which makes data warehouse free from the memory pattern of traditional (relational table )data structure. At the same time the dissertation also presents an advanced method for the information integrated, knowledge integrated. 4. Give a more detailed description of definition, method and target about data warehouse. In the process of data mining, take the business of banking for example , the risk of debt can be estimated . In the analysis of forecasting firstly use more than one model to predict the sample data about the subject; secondly after coinpa.ring and estimating results, find out optimum model, which is necessary for market economy system. 5. In Chapter 6, the method of association rules for knowledge discovery are studied. On the base of the definition formation of KDD, present analysis and studies on application value in practice of association rules. According to concrete sell, debt analysis of bank, analysis of pathology etc ., present an improved mathematics of Apriori, which solve the complicated problem about KDD in large DBS. So it is a mathematics can use in the analysis of medicine, diagnose, warning, the forecasting and analysis of risk about bank , the goods analysis about large retail trader etc. The result of application show that Apriori mathematics is an excellent one at present and it play an important role in DSS.