원문정보
보안공학연구지원센터(IJSIA)
International Journal of Security and Its Applications
Vol.7 No.3
2013.05
pp.395-404
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
This paper proposes a text clustering method using the reweighted term based on semantic features for utilizing NFC content. The proposed method uses text document samples of cluster by user to reduce the semantic gap between the user’s requirement and clustering results by machine for utilizing NFC access information. The method can enhance the text clustering because it uses the reweighted term which can well represent an inherent structure of text document set relevant to a user’s requirement regarding NFC tags.
목차
Abstract
1. Introduction
2. Related Works
2.1. NFC
2.2. Text Document Clustering
2.3. NMF
3. Proposed Method
3.1. Reweighting Term by Semantic Features
3.2. Clustering Text Document
4. Clustering NFC Access Information Scenario
5. Experiments and Evaluation
6. Conclusion
Acknowledgements
References
1. Introduction
2. Related Works
2.1. NFC
2.2. Text Document Clustering
2.3. NMF
3. Proposed Method
3.1. Reweighting Term by Semantic Features
3.2. Clustering Text Document
4. Clustering NFC Access Information Scenario
5. Experiments and Evaluation
6. Conclusion
Acknowledgements
References
키워드
저자정보
참고문헌
자료제공 : 네이버학술정보