Abstract
A formal framework for data mining with association rules is presented. All important steps of CRISP-DM are covered. Role of formalized domain knowledge is described. Logical aspects of this approach are emphasized. Possibilities of application of logic of association rules in solution of related problems are outlined. The presented approach is based on identifying particular items of domain knowledge with sets of rules which can be considered their consequences.
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Rauch, J. (2012). Domain Knowledge and Data Mining with Association Rules – A Logical Point of View. In: Chen, L., Felfernig, A., Liu, J., Raś, Z.W. (eds) Foundations of Intelligent Systems. ISMIS 2012. Lecture Notes in Computer Science(), vol 7661. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34624-8_2
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DOI: https://doi.org/10.1007/978-3-642-34624-8_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34623-1
Online ISBN: 978-3-642-34624-8
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