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학술대회 Web-Based Collaborative Big Data Analytics on Big Data as a Service Platform
Cited 32 time in scopus Download 1 time Share share facebook twitter linkedin kakaostory
저자
박경현, 차우, 원희선
발행일
201507
출처
International Conference on Advanced Communication Technology (ICACT) 2015, pp.564-567
DOI
https://dx.doi.org/10.1109/ICACT.2015.7224859
협약과제
14PS5700, BDaaS 를 위한 협업분석 플랫폼 개발, 원희선
초록
As data has been increasing explosively due to development of social networks and cloud computing, there has been a new challenge for storing, processing, and analyzing a large volume of data. The traditional technologies do not become a proper solution to process big data so that a big data platform has begun to emerge. It is certain that big data platform helps users develop analysis service effectively. However, it still takes a long time to collect data, develop algorithms and analytics services. We present a collaborative big data analytics platform for big data as a service. Developers can collaborate with each other on the platform by sharing data, algorithms, and services. Therefore, this paper describes big data analytics platform that effectively supports to manage big data and develop analytics algorithms and services, collaborating with data owners, data scientists, and service developers on the Web. Finally, we introduce a CCTV metadata analytics service developed on the platform.
키워드
BDaaS (Big Data as a Service), Big data analytics, Big data platform, CCTV MVS, CCTV video analysis, Collaborative platform
KSP 제안 키워드
Analytics platform, Big Data Analytics(BDA), Big Data as a Service(BDaaS), Big data platform, CCTV MVS, CCTV video analysis, Cloud Computing, Collaborative platform, Data scientists, Long Time, Sharing data