Title :
Application of Data Mining in Psychological Evaluation
Author :
Tong, Hengqing ; Guo, Li
Author_Institution :
Dept. of Math., Wuhan Univ. of Technol., Wuhan, China
Abstract :
This paper studies the realizing progress of data mining in psychological evaluation. Based on the matrix of evaluation data and the actual evaluation work, we propose a kind of generalized linear regression model with convex constraint, named as evaluation model, in which the dependent variable and regression coefficients all are unknown. We analyze the algorithm of the model with linear regression method. Then the least square estimate of parameters using the iterative projection algorithm is presented. At last, we use this least square iterative method to work out the parameters of the evaluation model. Our work could be a useful guide for the further research of data mining in psychological evaluation.
Keywords :
convex programming; data mining; iterative methods; least squares approximations; parameter estimation; psychology; regression analysis; convex constraint; data mining; generalized linear regression model; iterative projection algorithm; least square iterative method; parameter estimation; psychological evaluation; Algorithm design and analysis; Data mining; Iterative algorithms; Iterative methods; Least squares approximation; Least squares methods; Linear regression; Parameter estimation; Projection algorithms; Psychology; Evaluation Model; Iterative Projection Algorithm; Linear Regression Method; Matrix of Evaluation Data;
Conference_Titel :
Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3746-7
DOI :
10.1109/ISCSCT.2008.71