El Far Mohamed

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The extraction of knowledge and mining of useful dependencies represents a well established class of tasks in data mining. Most of the algorithms devoted to this task generate a large number of rules suffering from a problem of choosing a threshold. This paper suggests a new approach that helps to discover significant interesting and relevant rules by(More)
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