Application Of College Students With Financial Difficulties On Campus Card Flow Data Of Data Mining

With the development of information technology university, campus cardsystems in the major universities are widely used. With increasing time on-linecampus card system is running, the data collected and accumulated very large. Howto find from these massive,"dead " data when the management of the university tohelp decision support information to become a very real problem. This paper focuseson the campus card in the presence of widespread difficulties college students to workin difficult applications.This paper studies the complete process of association rule mining techniquesand university campus card data flow difficulties in the application of HealthInformation data preprocessing to select data from the data source; from associationrule algorithm is designed to develop a prototype system; from mining resultsanalysis to explain the poor students get school status information. Specifically, thedata source selection and pre-processing part, focuses on how water and othercampus card data and poor students basic information data through data cleaning,consolidation and variable selection and conversion tools will become available toprepare its subsequent data mining process basic data operations. In association rulesalgorithm design part, gives the association rule algorithm is used to analyze the dataset used, including the algorithm description and pseudo-code. In the design part ofthe prototype system, given the overall framework of the system and the mainmodule description. Finally, the results of the analysis in part, to extract data miningrules, and the corresponding explanations.