Sylvie Jami ; Tao-Yan Jen ; Dominique Laurent ; Georges Loizou ; Oumar Sy - Extraction of Association Rules for the Prediction of Missing Values

arima:1834 - Revue Africaine de la Recherche en Informatique et Mathématiques Appliquées, November 27, 2005, Volume 3, Special Issue CARI'04, november 2005 - https://doi.org/10.46298/arima.1834
Extraction of Association Rules for the Prediction of Missing Values

Authors: Sylvie Jami ; Tao-Yan Jen ; Dominique Laurent ; Georges Loizou ; Oumar Sy

Missing values in databases have motivated many researches in the field of KDD, specially concerning prediction. However, to the best of our knowledge, few appraoches based on association rules have been proposed so far. In this paper, we show how to adapt the levelwise algorithm for the mining of association rules in order to mine frequent rules with a confidence equal to 1 from a relational table. In our approach, the consequents of extracted rules are either an interval or a set of values, according to whether the domain of the predicted attribute is continuous or discrete.


Volume: Volume 3, Special Issue CARI'04, november 2005
Published on: November 27, 2005
Submitted on: May 15, 2005
Keywords: Databases, missing values, association rules, prediction,Bases de données,valeurs manquantes,règles d'association,prédiction,[INFO] Computer Science [cs],[MATH] Mathematics [math]


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