电子商务师职业考试分析中的数据挖掘应用研究

发布时间：2018-03-10 19:40

本文选题：数据挖掘　切入点：决策树　出处：《广东技术师范学院》2017年硕士论文　论文类型：学位论文

【摘要】：电子商务师职业考试是国家劳动和社会保障部为了将电子商务人才的培养和技能鉴定工作纳入标准化、规范化而开展的职业资格考试。伴随着电商行业的迅速发展,电子商务人才需求量大,专业招生爆满。与此同时,国家规定技工院校学生毕业前必须具备职业资格证书,即,证书通过与否直接关系到学生能否毕业,这使得职业考试的通过率受到重视。若能针对该项考试的成绩进行挖掘分析,可为电子商务专业的课程优化提供决策支持,进而有针对性地指导学生更好地通过电子商务师职业考试。本文结合笔者的实际工作需求,以广东省粤东技师学院近四年的电子商务师职业考试成绩为基础,利用数据挖掘理论和技术,对电子商务师职业考试成绩进行挖掘分析研究,主要工作包括:1)完成对成绩的收集处理,取得研究的数据源;2)采用决策树算法对成绩数据进行了分析,并构建三个决策树模型;3)用Apriori算法分析考试结果与其它专业学科成绩的关系;4)针对挖掘结果提出相应建议,以提供决策依据。我们获得的挖掘结果将用于为广东省粤东技师学院的教学工作提供决策指导,为深化教学改革提供决策参考。本文研究结果已在电子商务专业班的电子商务师职业考试中进行改革试点。作者通过成绩分析,针对班级学生的薄弱环节进行强化,最终班级考试通过率达到92%(前四年平均的通过率为84%),取得较好的成绩,说明论文研究中建立的决策树模型和发现的关联规则是有效的,能够应用于实际工作。本文完成的工作对分析各类职业资格考试与课程设置的相关性也有借鉴意义。
[Abstract]:The Electronic Commerce Division Professional examination is a professional qualification examination carried out by the Ministry of Labor and Social Security in order to standardize and standardize the training and skills appraisal of e-commerce talents, which is accompanied by the rapid development of the ecommerce industry. At the same time, the state stipulates that students in technical colleges must have a vocational qualification certificate before graduation, that is, whether the certificate is passed or not is directly related to whether students can graduate. This makes the passing rate of the vocational examination very important. If we can dig and analyze the results of the test, we can provide decision support for the course optimization of the electronic commerce major. Furthermore, the author instructs students to pass the E-commerce Division Vocational examination better. This paper, based on the results of the E-Commerce Division Vocational examination of Guangdong Dongdong technician College in the past four years, combined with the author's actual work needs. By using the theory and technology of data mining, this paper analyzes and studies the scores of E-commerce teachers' vocational examinations. The main work includes: 1) completing the collection and processing of the scores. This paper analyzes the result data by using decision tree algorithm, and constructs three decision tree models. It uses Apriori algorithm to analyze the relationship between the test results and the scores of other specialties. In order to provide a basis for decision-making. The results obtained will be used to provide decision-making guidance for the teaching work of Guangdong Provincial College of technicians. The results of this paper have been carried out in the electronic commerce professional class of the electronic commerce division vocational examination reform pilot, the author through the result analysis, aimed at the class student weak link carries on the enhancement, Finally, the passing rate of class examination reached 92% (the average pass rate in the previous four years was 84), which showed that the decision tree model established in the paper and the association rules found in the study were effective. It can be applied to practical work. The work done in this paper can also be used for reference in analyzing the correlation between various vocational qualification examinations and curriculum.
【学位授予单位】：广东技术师范学院
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：G712;F713.36-4

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