Secure Research at scale
نویسندگان
چکیده
منابع مشابه
Towards unified secure on- and off-line analytics at scale
Data scientists have applied various analytic models and techniques to address the oft-cited problems of large volume, high velocity data rates and diversity in semantics. Such approaches have traditionally employed analytic techniques in a streaming or batch processing paradigm. This paper presents CRUCIBLE, a first-in-class framework for the analysis of large-scale datasets that exploits both...
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ژورنال
عنوان ژورنال: International Journal of Population Data Science
سال: 2017
ISSN: 2399-4908
DOI: 10.23889/ijpds.v1i1.191