Application And Research On Data Mining In Analysis Of The E-commerce Professional Examinations

The E-commerce Professional Examinations is professional qualification examinations which carry out by the Ministry of Human Resources and Social Security of the People's Republic of China for the electronic commerce talented person's training and skills assessment work into standardization and normalization.With the rapid development of the e-commerce industry,the demand for e-commerce talents is high and the number of professional enrollment is full.At the same time,the state regulations that the students of mechanic Colleges must have professional qualification certificate before graduation,that is,the certificate through or not is directly related to whether the students can graduate,which makes the occupation pass rate is more and more people's attention.If we can dig for the test result analysis,then we can provide decision support for the optimization of the courses of e-commerce.And then targeted to help students better pass the E-commerce Professional Examinations.with the author's practical work requirements,the paper is based on E-commerce Professional Examinations results of Guangdong East Guangdong Technician College nearly four years.Using the theory of data mining and technology,E-commerce Professional Examinations test scores have been researched on Mining,the main work includes: 1)Complete the collection and processing of the scores,and make these datas into data sources for research;2)Use the decision tree algorithm to analyze data source,and three decision tree models are constructed;3)Apriori algorithm is used to analyze the relationship between the results of examination and the results of other disciplines;4)The corresponding suggestions are put forward,and provid the basis for decision making.The mining results we get will be used to provide decision-making guidance for teaching works of Guangdong East Guangdong Technician College.It provides reference for deepening the reform of teaching.The results of this study have been carried out inThe E-commerce Professional Examinations for e-commerce majors.Through the achievement analysis,the author strengthened the weak link of the class students,and the examination pass rate reached 92%(the average pass rate was 84% in the first four years).Good results show that the decision tree model and the discovered association rules are effective and can be applied to practical work.The work completed in this paper can be used for reference in the analysis of the correlation between the various types of Professional Examinations and curriculum setting.