Big data and analytics

被引：0
|
作者：
Misovic, Andrej [1 ]
Duzik, Ondrej [1 ]
Pleva, Michal [1 ]
机构：
[1] Univ Econ, Fac Informat, Dept Stat, Dolnozemska Cesta 1, Bratislava 85235, Slovakia
来源：
ERA OF SCIENCE DIPLOMACY: IMPLICATIONS FOR ECONOMICS, BUSINESS, MANAGEMENT AND RELATED DISCIPLINES (EDAMBA 2015) | 2015年
关键词：
big data; fastdata; machine learning; statistics; analytics; data growth; data sources; IoT; internet of things;
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
In this paper authors discuss phenomenon of "Big data" regarding the analytics. They pose a question why do we need them and why we've been without them before. In Big data discovery and analytics both statistical and machine leaning approaches have similar goals but use different steps and techniques. Authors tries to compare these approaches and also introduce and briefly review analytical tools around the big data framework.
引用
收藏
页码：639 / 644
页数：6
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