Abstract
A combination of flexible querying and data mining is discussed. The framework considered is a classical relational database management querying interface. The flexible querying is here accomplished through a direct use of linguistic, imprecise terms in queries. A popular data mining technique of the association rules is employed to provide for an even more sophisticated querying environment. Some of its extensions are discussed and illustrated.
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Kacprzyk, J., Zadrożny, S. (2001). On Linguistic Approaches in Flexible Querying and Mining of Association Rules. In: Larsen, H.L., Andreasen, T., Christiansen, H., Kacprzyk, J., Zadrożny, S. (eds) Flexible Query Answering Systems. Advances in Soft Computing, vol 7. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1834-5_44
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DOI: https://doi.org/10.1007/978-3-7908-1834-5_44
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