A survey on machine learning for data fusion

Tong Meng, Xuyang Jing, Zheng Yan, Witold Pedrycz

Abstract: Highlights•We sum up a group of main challenges that data fusion might face.•We propose a thorough list of requirements to evaluate data fusion methods.•We review the literature of data fusion based on machine learning.•We comment on how a machine learning method can ameliorate fusion performance.•We present significant open issues and valuable future research directions.