Data fusion, is generally defined as the use of techniques that combine data from multiple sources and gather that information in order to achieve inferences, which will be more efficient and potentially more accurate than if they were achieved by means of a single source.
Data fusion is a low-level Fusion process. Fusion processes are often categorized as low, intermediate or high, depending on the processing stage at which fusion takes place. Low level fusion, (Data fusion) combines several sources of raw data to produce new raw data. The expectation is that fused data is more informative and synthetic than the original inputs.
For example, Sensor fusion is also known as (multi-sensor) Data fusion and is a subset of Information fusion.
Data fusion vs. Data integration
Data Integration is the combining of data, whereas Data fusion is integration followed by reduction or replacement. Data integration might be viewed as set combination wherein the larger set is retained, whereas fusion is a set reduction technique with improved confidence.
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