지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2012.5
- 수록면
- 13 - 19 (7page)
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초록· 키워드
오류제보하기
Data has now become the fourth pillar of the discovery process, joining experimentation, theory, and simulations. Examples can be found in many fields of application such as healthcare, medicine, economics, science, disaster recovery, national security, and others. Today the data landscape is very rich. Data can be generated from experiments (e.g. science facilities), output from simulations (e.g. high performance computers), provided by humans (e.g. social media), or collected from sensors (e.g. satellite data). Bringing all types of disparate data to bear on a particular discovery process or mission outcome is one of the new frontiers of science and technology. In this paper, we provide an overview of our approach to putting together a knowledge discovery portfolio and provide a few recent and current examples across applications of national interest.
목차
ABSTRACT
DATA SYSTEMS
DATA ANALYTICS
MODELING AND SIMULATION
CYBER SECURITY
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2014-410-000450178