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.

Example[edit | edit source]

Use of the term[edit | edit source]

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Misuse of the term[edit | edit source]

Trendy terminology[edit | edit source]

See also[edit | edit source]

• 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[edit | edit source]

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

References[edit | edit source]

General References[edit | edit source]

Books[edit | edit source]

• 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[edit | edit source]

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

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