Association Rule Mining Algorithm With Applications

With the development of the computer technology, especially the database technology, lots of human resource data have been accumulated in the enterprise database. How to discover the rules and knowledge hiding in these data so as to provide the assistant decision support has become an urgent problem to be solved. The appearance and development of the Data Mining technology has provided powerful support to this need.The association rule is a data mining important research branch, mainly uses in discovering between the data set mean terms the correlation relation. Because the connection rule form succinct, easy to explain and the understanding and may catch the data effectively the important relations, excavates connection rule question oneself from the large-scale database to become in the data mining to be matures, importantly, the most active research content.In accordance to the related teaching objectives and standards, teaching appraisal affords value evaluation to teaching activities and achievements. It includes two steps. The first is to define standard system of excellent teaching quality. The second is to establish a set of classification evaluation standards. The third is to find out the rules governing appraisal standard and result so as to improve the teaching course. The data mining is one kind of policy-making support process, is the deep level data message analysis method, applies the data mining technology in to the teaching the appraisal is extremely beneficial without doubt, it may analyze the test appraisal result comprehensively the inner link which hides with each kind of factor between, through the data mining analysis, its appraisal result can bring the unprecedented harvest to the teaching.This paper first has made the discussion to the Data Mining, including Data Mining concept, Data Mining process and Data Mining duty and so on. Then, to was connected the rule excavation algorithm to do the thorough research, has analyzed in the connection rule the classical Apriori algorithm, had pointed out in the excavation essential step and proposed the algorithm insufficiency. In view of the Apriori algorithm insufficiency, proposed has made the improvement to the Apriori algorithm, causes to seek the frequent item of collection the work to be able to distribute, parallelization. Finally will be connected the rule data mining the method to utilize in the teaching appraisal, carries on the data mining from the teaching appraisal data. Found the teaching effect and the teacher basic situation relations, provides the valuable reference for the teacher, helps the teaching department to carry on the decision-making, thus does the teaching work well, improves the quality of teaching.