원문정보
초록
영어
With the continuous development of science and technology, computer technology and clustering technology of DM have become a part of the process of data analysis in this new era. How to use data mining technology to have better service for teaching evaluation field has been a research focus in the related research institutions at home and abroad. This paper has a research on application of ant colony clustering algorithm to Xinjiang ethnic groups’ evaluation system of Chinese teaching based on above. After briefly introducing the related theory and technology, this paper uses exploratory research method and survey method and designs evaluation system of Chinese teaching based on ant colony algorithm. Through the intensive study of a variety of data mining algorithm, this paper designs evaluation model of Chinese teaching using AHP. Then this paper gets data index through related survey and measures results after introducing ant colony clustering algorithm in evaluation system of Chinese teaching. The results show that application of ant colony clustering algorithm to Xinjiang ethnic groups’ evaluation system of Chinese teaching is more effective for teaching evaluation and improves the stability of the evaluation system and makes the system professional and provides effective reference experience to introduce ant colony clustering algorithm to other areas.
목차
1. Introduction
2. State of the Art
2.1. Ant Colony Clustering Algorithm
2.2 AHP
3. Methodology
3.1. Ant Colony Clustering Algorithm Based on Relative Canberra Distance
3.2. Comparison of Measure of Similarity of Vectors
3.3. The Establishment of the Database Model
4. Result Analysis and Discussion
4.1. Results of Comparative Tests of Clustering Algorithm
4.2. Experimental Result of the Optimal Parameters
4.3. Analysis and Assess of Xinjiang Ethnic Groups’ Chinese Teaching
5. Conclusion
Acknowledgments
References
