大数据
计算机科学
传感器融合
数据科学
融合
热点(地质)
数据建模
多样性(控制论)
人工智能
数据挖掘
数据库
地球物理学
语言学
地质学
哲学
作者
Lili Zhang,Yuxiang Xie,Xidao Luan,Xin Zhang
出处
期刊:International Conference on Artificial Intelligence
日期:2018-05-01
卷期号:: 47-51
被引量:83
标识
DOI:10.1109/icaibd.2018.8396165
摘要
As the exponential growth of data in internet era, there comes the big data era. Big data fusion creates huge values that makes it a research hotspot. However, in big data era, data shows characters of large volume, velocity, veracity and especially variety which is also called heterogeneity. Multiple different sources of data lead to data heterogeneity. Multi-source heterogeneous data brings opportunities and challenges to big data fusion. This paper introduces big data fusion and methods for heterogeneous data fusion, especially focus on the application of deep learning methods in multi-source heterogeneous data fusion. Challenges of dealing with multi-source heterogeneous data fusion is also discussed.
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