Vladislav Yusupov

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An approach to incremental learning of Good Maximally Redundant Diagnostic Tests (GMRTs) is considered. GMRT is a special formal concept in Formal Concept Analysis. Mining GMRTs from data is based on Galois lattice construction. Four situations of learning GM-RTs are considered: inserting an object (value) and deleting an object (value). An application to(More)
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