Application of Data Mining in Comprehensive Quality Evaluation of Senior High School Students
Liu Hui-tin · Computer Technology and Development · 2014
Comprehensive quality evaluation of senior high school students is useful when advanced education institutions choose talents. It introduces data mining technology to combine with the comprehensive quality evaluation,which conforms to the development trend of times and has certain research values. Apply the improved vector inner product method based on 0- 1 matrix to comprehensive quality evaluation of senior high school students. Compared with the classical Apriori algorithm,the improved method is more effective than the former,because it needs to scan the transaction database only once. Experimental results show it is reasonable to apply the improved vector inner product method to deal with the evaluation data of students' comprehensive quality.