Abstract
The study of association rules within groups of individuals in a database is interesting to define their characteristics and their behavior. In this paper, we define group association rules and we study interestingness measures for them. These evaluation measures can be used to rank groups of individuals and also rules within each group.
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Jiménez, A., Berzal, F., Cubero, JC. (2010). Interestingness Measures for Association Rules within Groups. In: Hüllermeier, E., Kruse, R., Hoffmann, F. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods. IPMU 2010. Communications in Computer and Information Science, vol 80. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14055-6_31
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DOI: https://doi.org/10.1007/978-3-642-14055-6_31
Publisher Name: Springer, Berlin, Heidelberg
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