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A Formal Concept Analysis Approach To Association Rule Mining: The Quicl Algorithms, David T. Smith
A Formal Concept Analysis Approach To Association Rule Mining: The Quicl Algorithms, David T. Smith
CCE Theses and Dissertations
Association rule mining (ARM) is the task of identifying meaningful implication rules exhibited in a data set. Most research has focused on extracting frequent item (FI) sets and thus fallen short of the overall ARM objective. The FI miners fail to identify the upper covers that are needed to generate a set of association rules whose size can be exploited by an end user. An alternative to FI mining can be found in formal concept analysis (FCA), a branch of applied mathematics. FCA derives a concept lattice whose concepts identify closed FI sets and connections identify the upper covers. However, …