Research Of The Deployment Of Data Mining Project--Application Of Credit Card Mining System Based On Classification

Nowadays the society is full of all kinds of information. It becomes more and more important to make the best use of the information. As a result, more and more people focus on data mining, as a newly-established frontier subject and the most active field in the research of information system and computer science.Guangdong Provincial Project esearch of Development Tools and Intelligent Analysis Platform on Data Warehouse (A1020103), sponsors the thesis. Based on exploring and analysis on the related literatures of data mining theories and applications, the thesis summarizes the main research contents and key technologies in this field, commenting the development of trends, questions and further tasks on data mining system, and studies some questions in the process of data mining: data mining project development process model, data quality analysis in the process of data preprocess, pre-discretizing numeric attributes algorithm and improving the decision algorithm on dealing with numeric attributes based on the data warehouse(provided by Visionsky Company) of Bank of China. The main works developed in thesis as follows:1> The thesis studies the related theories, applications and trends around data mining system, such as data mining technologies, data mining methodology and data mining system.2, Aiming at the question of ignoring project layout, the thesis brings forward new data mining system development process model based on project at the existed data mining process model, such as CRISP-DM process. There are four stages in the new process model which are project layout, mining preparing, mining and project evaluating. The new process model emphasizes on describing the project layout phrase to make data mining technologies feed on business application.3 ?Guided by the new process model, Credit Card Mining System was successfully designed, the thesis provides the solutions about the key technology questions in the Credit Card Mining System based on classification technology: designing the standards of data quality in the data preparing phrase, pre-discretizing numeric attributes algorithm and improving the decision algorithm on dealing with numeric attributes.We did a lot of experiment and evaluation to proposed the process and the algorithm. The experiment results are encouraging and show that the theory and method presented in this thesis are correct, efficient, valuable and a good guider in practical application.