The Application Of Association Rule In Judging Needy Students

Today's era is an era of information. Along with the rapid development of science and technology, large amount of data appear before us. How to respond such a huge mass of data and find what is useful to us from the vast data ocean has become a key issue.Data mining refers to the process which is to find the unknown and useful knowledge (or module) from large amount of data. It is an important subject after the database artifical intelligence and data warehouse. With the development of computer's software, hardware and their application in all kinds of fields, it is urgent to meet the requirement data mining technology. For the mined knowledge can give powerful support to its fields, so the data mining technology is widely applied.This paper first explains the basic tasks and techniques of the data mining. Then, it carries out a detailed description for the important aspects of the data mining-Data Preparation, and then explains the mining association rules. This paper focuses on the two classical algorithms of the mining association rules—Apriori algorithm and FP-growth of the mining association rules algorithm. Furthermore ,it discusses the improvement of FP-growth algorithm to improve the operating efficiency.This paper also discusses the design, the analysis and the application of the platform of data for evaluation of needy students on campus. Firstly, the writer analyzes the workflow in the subsidize work, brings forward the scheme of building the platform of data and programs the total platform; Secondly, according to the aim of the platform, the writer tries to build the data warehouse model of the project. Through Data Preparation, we can complete those tasks, namely the extraction, the cleansing and the conversion from the source data, to achieve the formation of a data warehouse, and makes a good basis for later analysis. Finally, in accordance with the above conclusion of the study, those improved association algorithms could be used into the real evaluation process.Comparatively speaking, the improved FP-growth method can greatly reduce the time complexity, especially when those huge warehouses need to mine, its effect will be particularly evident.