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Data and Information Quality: Dimensions, Principles and Techniques by Carlo Bat

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Furthermore, while systematically describing data and information quality as an autonomous research area, paradigms and influences deriving from other areas, such as probability theory, statistical data analysis, data mining, knowledge representation, and machine learning are also included.

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