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Probabilistic and fuzzy methods for information fusion in data mining

✍ Scribed by N. J. Randon; J. Lawry

Publisher
John Wiley and Sons
Year
2003
Tongue
English
Weight
390 KB
Volume
18
Category
Article
ISSN
0884-8173

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✦ Synopsis

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.

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