# A survey on machine learning for data fusion

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-survey-on-machine-learning-for-data-fusion/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Tong Meng,Xuyang Jing,Zheng Yan,Witold Pedrycz |
| Citations | 657 |
| DOI | 10.1016/j.inffus.2019.12.001 |
| Fields | Computer Science,Engineering,Environmental Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://research.aalto.fi/en/publications/e25cb857-e0b8-411c-94d7-8a1541045cac |
| OpenAlex ID | https://openalex.org/W2995201943 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Tong Meng](https://scholariq.org/researchers/tong-meng/)

## Paper primary topic

- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

## Paper topics

- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Air Quality Monitoring and Forecasting](https://scholariq.org/topics/air-quality-monitoring-and-forecasting/)
- [Traffic Prediction and Management Techniques](https://scholariq.org/topics/traffic-prediction-and-management-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.