大数据
计算机科学
数据科学
数据分析
分析
数据挖掘
出处
期刊:Automatic control and information sciences
日期:2017-08-26
卷期号:3 (1): 8-15
被引量:94
摘要
Heterogeneity is one of major features of big data and heterogeneous data result in problems in data integration and Big Data analytics.This paper introduces data processing methods for heterogeneous data and Big Data analytics, Big Data tools, some traditional data mining (DM) and machine learning (ML) methods.Deep learning and its potential in Big Data analytics are analysed.The benefits of the confluences among Big Data analytics, deep learning, high performance computing (HPC), and heterogeneous computing are presented.Challenges of dealing with heterogeneous data and Big Data analytics are also discussed.
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