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''' Data fusion ''' | |||
Data fusion is the process of integrating multiple data sources to produce more consistent, accurate, and useful information than that provided by any individual data source.[1] | Data fusion is the process of integrating multiple data sources to produce more consistent, accurate, and useful information than that provided by any individual data source.[1] | ||
Fusion of the data from two sources (dimensions #1 & #2) can yield a classifier superior to any classifiers based on dimension #1 or dimension #2 alone | Fusion of the data from two sources (dimensions #1 & #2) can yield a classifier superior to any classifiers based on dimension #1 or dimension #2 alone | ||
Dernière version du 11 mai 2020 à 08:56
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Data fusion
Data fusion is the process of integrating multiple data sources to produce more consistent, accurate, and useful information than that provided by any individual data source.[1] Fusion of the data from two sources (dimensions #1 & #2) can yield a classifier superior to any classifiers based on dimension #1 or dimension #2 alone
Contributeurs: Jacques Barolet, wiki