货币化
大数据
价值(数学)
业务
商业
数据科学
计算机科学
经济
数据挖掘
机器学习
宏观经济学
作者
Roberto Moro Visconti,Alberto Larocca,Michèle Marconi
出处
期刊:Big data analytics
[Springer Science+Business Media]
日期:2017-10-30
卷期号:: 355-372
被引量:29
摘要
Big Data is the term for any gathering of high-volume information sets from multiple sources; Big Data is so expensive, fast changing, and complex that it can become hard to process. The processing difficulties cover investigation, catch, duration, inquiry, sharing, stockpiling, exchange, perception, protection infringement, and quantification of financial value. The explosive growth of data in almost every industry and business area has been driven by the rapid development of the Web, the Internet of Things (IoT), and Cloud computing (Jin et al. 2015).
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