Title :
Knowledge mining of innovation based on a master´s degree thesis database
Author_Institution :
Grad. Dept. of Civil Aviation, Univ. of China, Baoding, China
Abstract :
Based on the static factor analysis of innovation for a master´s degree thesis database, a innovation evaluation method is employed to build the factor set, evaluation set, weight sets and fuzzy evaluation model using analytic hierarchy process and fuzzy synthesis evaluation method. The innovation of a master´s degree thesis database is evaluated, and the effectiveness of this method is demonstrated with applicable examples.
Keywords :
data mining; decision making; fuzzy set theory; innovation management; statistical databases; analytic hierarchy process; factor set; fuzzy synthesis evaluation method; innovation evaluation method; knowledge mining; master degree thesis database; static factor analysis; weight set; Analytical models; Education; Fuzzy sets; Indexes; Machine learning; Technological innovation; Analytic hierarchy process; Database; Evaluation model; Fuzzy evaluation; Innovation capabilities;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5581021
