Based On The Data Warehouse Qinghai Statistics Decision Analysis Support System Design And Implementation

Nowadays, in the face of massive information data, how to effectively collect, choose and make use of effective data, the importantance is how to help the users to figure out the relationships and put forward new concepts in numerous information, making them to be automated, and working on decision support is a hot issue in today's information technology. However, data mining technology and data warehouse technology have been developed in recent years, relevant to database and artificial intelligence, which can find out useful data from a number of basic data and the relationships between them. Data magnanimity and fragmentation is one of the features in statistical industry and the combination of data mining and data warehouse technology with this industry is just an imperative trend. This paper discussed it with Qinghai Province Statistical Information Decision Analysis Support System Design And Realization.Accord to user's request of Flexible query, finding rule through data, data visualizing, using OLAP, decision tree, such as concept description data warehouse technology. This paper attempts to provide an applied research on statistics from the perspective of data mining and data warehouse.Firstly, this thesis introduces the background of the topic, significance and design principles, focusing on summarizing the results obtained by the experts and scholars in the field of data mining and data warehouse at home and abroad as the theoretical basis. In order to identify the purpose of this thesis, it also describes the basic situation analysis, classification analysis, dynamic analysis, correlation analysis, eigenvalue analysis and the other statements from the specific data requirements and data forms in statistical industry.Secondly, in the demonstrative part of this thesis, I have applied practical design to the statistical demands and structure of the Qinghai Provincial Bureau of Statistics with the related technology in data warehouse, trying to achieve the application of data warehouse technology in the statistical industry. In the process of description, I used the statistical way of thinking to decide the mining ideas and techniques to be used, and a large number of raw data to implement data mining. Through the methods of decision tree classification, a model is established for further mining tasks.And then this thesis reveals a frame presentation on Qinghai statistics data mining and analysis system achieved by the use of data mining and data warehouse technology, to prove the feasibility of the design and implementation in the last part.Finally, there is a comprehensive summary in the thesis and the direction of further efforts have been proposed as well.