원문정보
보안공학연구지원센터(IJSEIA)
International Journal of Software Engineering and Its Applications
Vol.8 No.12
2014.12
pp.55-64
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
This study proposed an encoding scheme of sensing data for efficient data stream mining the environment which takes into account the frequency analysis and association rule mining of data stream. In this research, sensing data was encoded in the ways of presenting the features of the events detected by sensors and of including the changes of the sensing data stream. Therefore, it was found that the proposed scheme reached the point of reasoning a situation which will be detected and recognized through sensing of multiple sensors.
목차
Abstract
1. Introduction
2. Related Research
3. Encoding of Sensing Data for Effective Data Stream Mining
4. An Experiment and Evaluation
5. Conclusion
Acknowledgements
References
1. Introduction
2. Related Research
3. Encoding of Sensing Data for Effective Data Stream Mining
4. An Experiment and Evaluation
5. Conclusion
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보