Towards Streamlined Big Data Analytics

被引：0
|
作者：
Benczur, Andras A. [1 ]
Palovics, Robert [1 ]
Balassi, Marton [2 ]
Markl, Volker [3 ]
Rabl, Tilmann [3 ]
Soto, Juan [3 ]
Hovstadius, Bjorn [4 ]
Dowling, Jim [4 ]
Haridi, Seif [4 ]
机构：
[1] MTA SZTAKI, Budapest, Hungary
[2] Cloudera, Budapest, Hungary
[3] DFKI, Saarbrucken, Germany
[4] SICS, Stockholm, Sweden
来源：
ERCIM NEWS | 2016年 / 107期
关键词：
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Big data analytics promise to deliver valuable business insights. However, this will be difficult to realise using today's state-of-the-art technologies, given the flood of data generated from various sources. The European STREAMLINE project develops scalable, fast reacting, and high accuracy machine learning techniques for the needs of European online media companies.
引用
收藏
页码：31 / 32
页数：2
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