Associative classification is a well-known technique which uses association rules to predict the class label for new data object.
There are various strategies for good associative classification in its three main phases: rules generation, rules pruning and classification. Based on a ...
A novel algorithm, CorClass, that integrates association rule mining with classification, is presented. It first discovers all correlated as- sociation rules ( ...
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Oct 22, 2024 · PDF | A novel algorithm, CorClass, that integrates association rule mining with classification, is presented.
A novel algorithm, CorClass, that integrates association rule mining with classification, is presented. It first discovers all correlated association rules ...
Jul 22, 2005 · There are various strategies for good associative classification in its three main phases: rules generation, rules pruning and classification.
Association rules are mined in a two-step process consisting of frequent itemset mining followed by rule generation. The first step searches for patterns of ...
Jan 20, 2024 · Association rule mining is a technique in data mining for discovering interesting relationships, frequent patterns, associations, or correlations.
Aug 24, 2023 · A crucial data mining approach called associative classification focuses on identifying connections and interactions between various variables in a dataset.
The generation of an associative classifier consists of two steps. First, classification rules are extracted from the training data. Then, pruning techniques ...