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- W1980553664 abstract "With the wealth of information available in the world today the challenge of how to extract information from several data sources in an intuitive and transparent manner has emerged in machine learning. This article describes a method for learning models from a database using linguistic descriptions on fuzzy sets and fusion methods in a data-mining framework. It focuses on AND/OR combination functions and shows how these can be optimized for knowledge extraction and classification of data. © 2003 Wiley Periodicals, Inc." @default.
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- W1980553664 date "2003-05-06" @default.
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- W1980553664 title "Probabilistic and fuzzy methods for information fusion in data mining" @default.
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- W1980553664 doi "https://doi.org/10.1002/int.10105" @default.
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