Data fusion

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 than if they were achieved by means of a single source.

## Contents

* 1 Example
* 2 Use of the term
* 3 Misuse of the term
* 4 Trendy terminology
* 5 See also
* 5.1 Application areas
* 6 References
* 7 General References
* 8 Books
* 9 External links

### Example

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## Use of the term

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## Misuse of the term

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## Trendy terminology

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## See also

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* Artificial intelligence
* Bayesian network
* CRISP-DM
* Data analysis
* Data farming
* Data mining
* Descriptive statistics
* Fuzzy logic
* Hypothesis testing
* k-nearest neighbor algorithm
* Machine learning
* Pattern recognition
* Predictive analytics
* Preprocessing
* Statistics

### Application areas

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* Business intelligence
* Business performance management
* Discovery science
* Loyalty card
* Cheminformatics
* Quantitative structure-activity relationship
* Bioinformatics
* Intelligence services

## References

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## General References

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## Books

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* David L. Hall, Sonya A. H. McMullen, Mathematical Techniques in Multisensor Data Fusion (2004), ISBN 1580533353 (Bookpool.com)
* Springer, Information Fusion in Data Mining (2003), ISBN 3540006761 (Bookpool.com)

## External links

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* Data Fusion, Multitel
* An Introduction to Data Fusion, Royal Military Academy

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