Abstract
In the paper we list a set of properties that characterize a legitimate approach to data incompleteness. An example of a legitimate probabilistic approach, which is based on attribute distribution, is presented. We also review and compare three other approaches to incompleteness: the one that ignores missing values, the approach applying only certain information, and the approach based on valid databases. All the three approaches turn out to be invalid.
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© 2000 Springer-Verlag Berlin Heidelberg
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Kryszkiewicz, M. (2000). Probabilistic Approach to Association Rules in Incomplete Databases. In: Lu, H., Zhou, A. (eds) Web-Age Information Management. WAIM 2000. Lecture Notes in Computer Science, vol 1846. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45151-X_12
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DOI: https://doi.org/10.1007/3-540-45151-X_12
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67627-0
Online ISBN: 978-3-540-45151-8
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