Title :
The Research of Data Mining Analysis System Based on Pearson Relation
Author :
Zhang Hanyun ; Hu Shunfang
Author_Institution :
Math. & Comput. Sci. Sch. of Yunnan, Nat. Univ., Kunming, China
Abstract :
Using the application of mathematical statistics analysis theory, this paper presents a related data mining analysis model based on the Pearson´s r. We introduced Pearson´s r to mine association rules of distinctively related courses. Thus we build the computer aided teaching evaluation system, and then draw a useful conclusion for teaching.
Keywords :
computer aided instruction; data mining; educational courses; further education; mathematics computing; statistical analysis; teaching; Pearson correlation coefficients; Pearson relation; association rule mining; computer aided teaching evaluation system; data mining analysis model; data mining analysis system; educational courses; mathematical statistics analysis theory; Association rules; Computers; Correlation; Correlation coefficient; Data warehouses; Education; Pearson correlation coefficients; association rules; data mining; data reduction;
Conference_Titel :
Information Science and Control Engineering (ICISCE), 2015 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-6849-0
DOI :
10.1109/ICISCE.2015.118
