Abstract
Gradual dependencies of the form the more A, the more B offer valuable information that linguistically express relationships between variations of the attributes. Several formalisations and automatic extraction algorithms have been proposed recently. In this paper, we first present an overview of these methods. We then propose an algorithm that combines the principles of several existing approaches and benefits from efficient computational properties to extract frequent gradual itemsets.
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Laurent, A., Lesot, MJ., Rifqi, M. (2009). GRAANK: Exploiting Rank Correlations for Extracting Gradual Itemsets. In: Andreasen, T., Yager, R.R., Bulskov, H., Christiansen, H., Larsen, H.L. (eds) Flexible Query Answering Systems. FQAS 2009. Lecture Notes in Computer Science(), vol 5822. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04957-6_33
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DOI: https://doi.org/10.1007/978-3-642-04957-6_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04956-9
Online ISBN: 978-3-642-04957-6
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