원문정보
보안공학연구지원센터(IJGDC)
International Journal of Grid and Distributed Computing
Vol.8 No.3
2015.06
pp.11-22
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In this paper, we present our work on information analysis for big data. Big data is generated every day in various fields such as complex physics simulations, genomics, meteorology, as well as biological and environmental research. Traditional data mining applications cannot handle big data well because the data sets are so large and complex. In this paper we present our approach to analyzing the information that is hidden in the big data using various strategies. This proposed approach can assist to improve the performance of existing data analysis technologies, such as data mining approaches in Bioinformatics and other fields.
목차
Abstract
1. Introduction
2. Related Work
3. Finding Patterns for Big Data
4. Experiments
5. Conclusion
Acknowledgement
References
1. Introduction
2. Related Work
3. Finding Patterns for Big Data
4. Experiments
5. Conclusion
Acknowledgement
References
저자정보
참고문헌
자료제공 : 네이버학술정보
