Teaching Effect Evaluation Method Based on K-Nearest Neighbor Technology
To solve problems that the large data, evaluation standard redundancy and the teaching effect can be not measured effectively, presents a teaching effect evaluation method based on K-nearest neighbor technology combining with the K-nearest neighbor of data mining area. By this method, the accuracy of teaching effect evaluation can be improved.
NETL
NSTL
万方数据
维普
