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Data fusion
Introduction
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.
Example
Misuse of the term
Misuse of the term
Trendy terminology
Trendy terminology
See also
See also
- 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
References
References
General References
General References
Books
Books
- 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)
