Formal Framework for Data Mining with Association Rules and Domain Knowledge – Overview of an Approach

Issue title: Domain Knowledge in Knowledge Discovery and Privacy-Aware Intelligent Systems

Article type: Research Article

Authors: Rauch, Jan

Affiliations: University of Economics, Prague, nám. W. Churchilla 4, 130 67 Prague 3, Czech Republic. [email protected]

Note: [] Address for correspondence: University of Economics, Prague, nám. W. Churcillla 4, 130 67 Prague 3, Czech Republic The work described here has been supported by Grant No. IGA 20/2013 of the University of Economics, Prague.

Abstract: A formal framework for data mining with association rules is introduced. The framework is based on a logical calculus of association rules which is enhanced by several formal tools. The enhancement allows the description of the whole data mining process, including formulation of analytical questions, application of an analytical procedure and interpretation of its results. The role of formalized domain knowledge is discussed.

Keywords: data mining, association rules, formalization of CRISP-DM, domain knowledge, logical calculus of association rules

DOI: 10.3233/FI-2015-1175

Journal: Fundamenta Informaticae, vol. 137, no. 2, pp. 171-217, 2015