基于K-近邻技术的教学效果评测方法
Teaching Effect Evaluation Method Based on K-Nearest Neighbor Technology
白宁1
作者信息
- 1. 山西警官高等专科学校计算机科学与技术系，太原 030021
- 折叠
摘要
针对现在教学效果评测问题中数据量大、评测标准繁多、不能有效衡量教学效果的问题，结合数据挖掘领域最典型的K-近邻方法，提出一种基于K-近邻技术的教学效果评测方法，以对教学效果的数据进行综合挖掘和评测，提高教学效果评测的准确性。
Abstract
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.
关键词
教学效果评测/数据挖掘/K-近邻Key words
Teaching Effect Evaluation/Data Mining/K-Nearest Neighbor引用本文复制引用
出版年
2015
NETL
NSTL
维普
万方数据