The design and implementation of the analysis system of data-providing behavior based on data mining

In this paper, we conduct the analysis of the behavior of data providers in a given period of time, utilizing the theory of data warehouse, data mining, version control and data comparison. We classify data providers via decision tree, then designing and implementing the whole analysis system of data-providing behavior. The system can automatically receive and integrate data from various sources according to the classification of data providers, which provides an effective way for the prediction system of the set of undergraduate professional to receive and manage incoming data better. In the prediction system of the set of undergraduate professional, data comes from various sources. Analyzing and processing these data has been a key task for system integration. Data providers in the prediction system come from different departments and industries, with their data provided different in terms of providing frequency, data quality, and the change in data structure. The system conducts the analysis of data-providing behavior and the classification of data providers in order to guarantee the reception and processing of system data, together with future work of the project.