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174:. A host of methods for these research areas are available such as those presented in the International Society of Information Fusion. Other methods rely on causal estimates of the outcomes based on a model of the sources.
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E. P. Blasch, E. Bosse, and D. A. Lambert, High-Level
Information Fusion Management and System Design (2012), Artech House Publishers, Norwood, MA.
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Context-Enhanced
Information Fusion: Boosting Real-World Performance with Domain Knowledge
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and consolidation of data from unstructured or semi-structured resources. Typically,
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refers to textual representations of knowledge but is sometimes applied to
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which allow the detection of similar text in different data sources by
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Haghighat, Mohammad; Abdel-Mottaleb, Mohamed; Alhalabi, Wadee (2016).
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L. Snidaro; J. Garcia-Herrero; J. Llinas; et al. (2016).
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P.K. Davis, D. Manheim, W.L. Perry, J. Hollywood (2015).
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IEEE Transactions on
Information Forensics and Security
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Springer, Information Fusion in Data Mining (2003),
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219:Theory and Practice (Multisensor Data Fusion)
217:M. E. Liggins; D. L. Hall; J. Llinas (2008).
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186:(is a subset of Information integration)
392:Discriminant Correlation Analysis (DCA)
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