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RUBA: Real-time Unstructured Big Data Analysis Framework
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- Authors
- Jaein Kim, Nacwoo Kim, Byungtak Lee, Joonho Park, Kwangik Seo, Hunyoung Park
- Issue Date
- 2013-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2013, pp.518-522
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- 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 Keywords
- Big data analysis, Data generation, Dynamic modification, Image data, Monitoring system, Real-time Analysis, Test system, Unstructured Big Data, analysis framework, object monitoring