This paper presents a novel approach to the prediction of null values in relational databases, based on the notion of analogical proportion. We show in particular how an algorithm initially proposed in a classification context can be adapted to this purpose. This work focuses on the case of a transactional database, where attributes are Boolean. The experimental results reported here, even though preliminary, are encouraging since the approach yields a better precision, on average, than the classical nearest neighbors technique. © Springer International Publishing Switzerland 2014.
CITATION STYLE
Correa Beltran, W., Jaudoin, H., & Pivert, O. (2014). Estimating Null Values in Relational Databases Using Analogical Proportions. In Communications in Computer and Information Science (Vol. 444 CCIS, pp. 110–119). Springer Verlag. https://doi.org/10.1007/978-3-319-08852-5_12
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