Big Data and Deep Learning for Understanding DoD Data

被引：0
|
作者：
Zhao, Ying [1 ]
MacKinnon, Douglas J. [1 ]
Gallup, Shelley P. [1 ]
机构：
[1] Naval Postgraduate School, United States
来源：
CrossTalk | 2015年 / 28卷 / 04期
关键词：
Big data;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Today, Big Data infrastructure and analytics intervene with traditional data sciences. We are compelled to ask - What is new? In this article, the authors provide a pragmatic context for how Big Data infrastructure and analytics are related to traditional data sciences including statistical analysis, numerical analysis, machine learning, data mining, pattern recognition and data fusion. The authors also discuss use cases in various categories that demonstrate empirical practicality for understanding and applying Big DoD Data.
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页码：4 / 11
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