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Erschienen in:
Application of Bayesian Belief Networks for Smart City Fire Risk Assessment Using History Statistics and Sensor Data Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

A Review on Technology, Management and Application of Data Fusion in the Background of Big Data

verfasst von : Siguang Chen, Aihua Li

Erschienen in: Data Science

Verlag: Springer Singapore

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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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Vorheriges Kapitel Research on Assessment and Comparison of the Forestry Open Government Data Quality Between China and the United States
Nächstes Kapitel GAN-Based Deep Matrix Factorization for Recommendation Systems
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Metadaten
Titel
A Review on Technology, Management and Application of Data Fusion in the Background of Big Data
verfasst von
Siguang Chen
Aihua Li
Copyright-Jahr
2020
Verlag
Springer Singapore
Buch
Data Science

Print ISBN: 978-981-15-2809-5

Electronic ISBN: 978-981-15-2810-1

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-981-15-2810-1_37