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Showing 1 to 1 of 1 for “"Class association rule"”.

  1. Deriving Classifiers with Single and Multi-Label Rules using New Associative Classification Methods

    Associative Classification (AC) in data mining is a rule based approach that uses association rule techniques to construct accurate classification systems (classifiers). The majority of existing AC algorithms extract one class per rule and ignore other class labels even when they have large data …

    de-montfort Repository record for Deriving Classifiers with Single and Multi-Label Rules using New Associative Classification Methods (opens in a new tab)