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Research on Application of Ant Colony Clustering Algorithm to Xinjiang Ethnic Groups’ Evaluation System of Chinese Teaching
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- 발행기관
- 보안공학연구지원센터(IJSIP) 바로가기
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- 간행물
- International Journal of Signal Processing, Image Processing and Pattern Recognition 바로가기
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- 통권
- Vol.9 No.9 (2016.09)바로가기
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- 페이지
- pp.429-438
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A284996
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
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
Abstract
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
저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
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- 간행물명
- International Journal of Signal Processing, Image Processing and Pattern Recognition
- 간기
- 격월간
- pISSN
- 2005-4254
- 수록기간
- 2008~2016
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.9 No.9
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