Abstract

Due to its mathematical foundation and intuitive diagrams (concept lattices), formal concept analysis (FCA) is an attractive alternative for data mining. This work proposes a FCA-based classification algorithm called “Similar Concepts”. Unlike previous proposals, the algorithm searches the concept lattice for similar formal concepts, which classify unseen objects. Despite its complexity limitations (inherent to FCA algorithms), “Similar Concepts” usually presents better accuracy than previous FCA-based classification algorithms.

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