Application Research of SVM-based Mining Algorithm in Evaluation of College English Teaching

被引:2
作者
Yu, Lingyun [1 ]
机构
[1] Sias Int Univ, Sch Foreign Languages, Xinzheng 451150, Peoples R China
来源
2016 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA & SMART CITY (ICITBS) | 2017年
关键词
evaluation; English teaching; SVM; data mining;
D O I
10.1109/ICITBS.2016.124
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
It is a problem of obtaining fair, accurate and fast evaluation of teacher in education and teaching, which is also an important premise of modern management in colleges. There exist some disadvantages as being subjective, poor accuracy and complex operation in traditional schemes. We proposed an improved method by combining data mining algorithm and the evaluation indicators of English teachers. SVM is used to classify the sample data. Then we attain the training model through training the sample data in the evaluation system and take the intelligent evaluation and analysis on the prediction data with the training model. Our method is testified to have advantage in comprehensive performance and application value by experiments.
引用
收藏
页码:73 / 76
页数:4
相关论文
共 5 条
[1]  
Jing Yang, 2011, Information Technology Journal, V10, P2140, DOI 10.3923/itj.2011.2140.2146
[2]   fMRI-Based Hierarchical SVM Model for the Classification and Grading of Liver Fibrosis [J].
Sela, Yehonatan ;
Freiman, Moti ;
Dery, Elia ;
Edrei, Yifat ;
Safadi, Rifaat ;
Pappo, Orit ;
Joskowicz, Leo ;
Abramovitch, Rinat .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2011, 58 (09) :2574-2581
[3]  
Wan Hongxin, 2012, SOURCE INT REV COMPU, V7, P3710
[5]  
Zou Xiaowei, 2015, INT J HYBRID INFORM, V8, P509