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Communication Dans Un Congrès Année : 2006

Interesting patterns extraction using prior knowledge

Résumé

One important challenge in data mining is to extract interesting knowledge and useful information for expert users. Since data mining algorithms extracts a huge quantity of patterns it is therefore necessary to filter out those patterns using various measures. This paper presents IMAK, a part-way interestingness measure between objective and subjective measure, which evaluates patterns considering expert knowledge. Our main contribution is to improve interesting patterns extraction using relationships defined into an ontology.
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hal-02282646 , version 1 (11-04-2023)

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Laurent Brisson. Interesting patterns extraction using prior knowledge. 9th International Conference on Discovery Science, Oct 2006, Barcelone, Spain. pp.296 - 300, ⟨10.1007/11893318_30⟩. ⟨hal-02282646⟩
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