Title :
Research of School-Enterprise Research Evaluation Information Mining Technology Based on Analytical Hierarchy Process (AHP) and Genetic Algorithm (GA)
Author :
Ben Song ; Junle Yu
Author_Institution :
Sch. of Comput. Sci. & Software, Tianjin Polytech. Univ., Tianjin, China
Abstract :
This paper describes the research development levels of home and abroad, and makes a mining research about Chinese school-enterprise research evaluation information. In consideration of the evaluation index system of school-enterprise research, data mining model is established in the comprehensive use of the improved genetic algorithm based on the AHP analytic hierarchy process (AHP). The paper also makes scientific quantitative analysis on the teach-research indexes to each other, the quantitative index system provides a broad prospect for teaching and research work. In order to solve the implementation of school-enterprise research mechanism the problem that is badly in need of solving in current higher vocational education in our country.
Keywords :
analytic hierarchy process; data mining; educational administrative data processing; educational institutions; further education; genetic algorithms; research and development; teaching; vocational training; AHP; Chinese school-enterprise research evaluation information; GA; analytical hierarchy process; data mining model; evaluation index system; higher vocational education; improved genetic algorithm; quantitative index system; research development levels; school-enterprise research evaluation information mining technology; teach-research indexes; teaching; Educational institutions; Genetic algorithms; Indexes; Optimization; Sociology; Statistics; Analytic Hierarchy Process; Genetic Algorithm; Quantitative Analysis and Mining; School-enterprise Research Information;
Conference_Titel :
Multimedia Information Networking and Security (MINES), 2012 Fourth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-3093-0
DOI :
10.1109/MINES.2012.170