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학술대회 RUBA: Real-time Unstructured Big Data Analysis Framework
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저자
김재인, 김낙우, 이병탁, 박준호, 서광익, 박헌영
발행일
201310
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2013, pp.518-522
DOI
https://dx.doi.org/10.1109/ICTC.2013.6675410
협약과제
12VH1100, 대용량 센서 스트림 데이터를 실시간으로 처리하는 개방형 센서 DBMS의 개발, 이병탁
초록
We are greeting 'Big Data Generation'. As ICT technology is developing, the volume of data is incredibly growing and many works to deal with a big data are underway. In this paper, we proposed a novel framework for real-time unstructured big data analysis, such as a movie, sound, text and image data. Our proposed framework provides functions of a real-time analysis and dynamic modification for unstructured big data analysis. We have implemented the object monitoring system as a test system which is applied our framework, and we have confirmed each functions and the availability of our framework. © 2013 IEEE.
KSP 제안 키워드
Big Data analysis, Data generation, Dynamic modification, Image data, Monitoring system, Real-time Analysis, Test system, Unstructured Big Data, analysis framework, object monitoring