Title :
Research of education evaluation information mining technology based on analytical hierarchy process (AHP) and Genetic Algorithm (GA)
Author :
Yu, Junle ; Sun, Baoshan
Author_Institution :
Coll. of Applic. Technol., Tianjin Polytech. Univ., Tianjin, China
Abstract :
This paper has surveyed the education evaluation method and technology both at home and abroad, and studied on the question of education evaluation information´s mining. In view of the evaluation index system of high and secondary vocational education, on the basis of AHP method it has improved the deficiency of AHP´s quantitative analysis. The modified Genetic Algorithm method is used to constructed the data mining model on the basis of AHP method. This paper has taken a scientific quantitative analysis on the evaluation model´s weight, and provided a vastitude future of education evaluation index system´s quantification.
Keywords :
data mining; decision making; distance learning; educational computing; genetic algorithms; AHP method; AHP quantitative analysis; analytical hierarchy process; data mining model; education evaluation information mining technology; evaluation index system; evaluation model weight; genetic algorithm; scientific quantitative analysis; vocational education; Biological system modeling; Education; Genetics; analytical hierarchy process; education evaluation; genetic algorithm; weight;
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6539-2
DOI :
10.1109/ICACTE.2010.5579725