Abstract
The purpose of data fusion is to combine multi-source and heterogeneous data to make the data more valuable. Re-examining data fusion under the background of big data, technology has undergone transformation and innovation; management requires new theories such as data governance, big data chain, data sharing and security, quality evaluation and others to support; the application field is also more extensive. This paper reviews and combs the technology, management and application of data fusion in the context of big data, and finally the future prospect of big data fusion is put forward.
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Acknowledgement
This paper is partly supported by the National Natural Science Foundation (71932008, 71401188), Beijing Social Science Foundation (15SHB017) and Supported by Program for Innovation Research in Central University of Finance and Economics.
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Chen, S., Li, A. (2020). A Review on Technology, Management and Application of Data Fusion in the Background of Big Data. In: He, J., et al. Data Science. ICDS 2019. Communications in Computer and Information Science, vol 1179. Springer, Singapore. https://doi.org/10.1007/978-981-15-2810-1_37
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DOI: https://doi.org/10.1007/978-981-15-2810-1_37
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