원문정보
보안공학연구지원센터(IJDTA)
International Journal of Database Theory and Application
Vol.7 No.4
2014.08
pp.227-236
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
References can directly reflect quality of Undergraduate theses. However, it is a thorny problem that how to quantitatively evaluate massive undergraduate thesis references. A quality evaluation method of undergraduate thesis references based on Hadoop is presented which applies pattern matching algorithm to extract metadata and evaluates quality of undergraduate theses by quality evaluation model based on grey relational analysis. Experiment results show that this method can quickly and accurately evaluate quality of undergraduate thesis references on Hadoop.
목차
Abstract
1. Introduction
2. Background
3. Reference Normative Evaluation Method
3.1. Select the Metadata and Set the Weight
3.2. Metadata Extraction Model Based on Pattern Matching
4. Quality Evaluation Model Based on Grey Relational Analysis
5. Experimental Results
5.1. Result of the Statistics and Evaluation
6. Conclusions
Acknowledgements
References
1. Introduction
2. Background
3. Reference Normative Evaluation Method
3.1. Select the Metadata and Set the Weight
3.2. Metadata Extraction Model Based on Pattern Matching
4. Quality Evaluation Model Based on Grey Relational Analysis
5. Experimental Results
5.1. Result of the Statistics and Evaluation
6. Conclusions
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보