A Study And Application Of Data Mining Technologies In "Chinese Educational Economic Information Net

With the rapid development of database technologies and the broad usage of database management systems, the data piped up more and more. We expect to analyze the data from higher layer so that we can make good use of the data. However, it is impossible to understand the data only depend on ourselves if we do not use powerful tools. At present, although the database systems could do input, enquire and statistic effectively, they could not discovery the relations and the rules among the data, they also could not forecast the trend by the data we have had.Data mining technologies appears for large scale data analyzing and processing. Data mining technologies can abstract the useful information from numerous data, the technologies is adopted by more and more fields and the result is satisfied, we can make decisions correctly by data mining technologies.The content of the paper is a study of the application of data mining technology in Chinese Educational Economic net, and design and develop the data mining system (abbreviated as CEEDM) based on this. The paper adopts the design of the CEEDM and the association rule mining technology which is charged by the author, studies the important notation, method and strategy of data mining technologies, discusses the application and realize of association rule mining technology emphatically, and aims at the inherent fault of the Apriori algorithm, analyzes and realizes the FP-growth which does not generate candidate mining frequent itemset.The contribution of the paper is summarized as following: Realized the application of data mining technologies in Chinese Educational Economic net. Completed of systematic design of CEEDM. Aims at the inherent fault of the Apriori algorithm, analyzes and realizes the FP-growth which does not generate candidate mining frequent itemset.