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A novel associative classification model based on a fuzzy frequent pattern mining algorithm

机译:基于模糊频繁模式挖掘算法的新型关联分类模型

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摘要

Associative classification models are based on two different data mining paradigms, namely pattern classification and association rule mining. These models are very popular for building highly accurate classifiers and have been employed in a number of real world applications.
机译:关联分类模型基于两种不同的数据挖掘范例,即模式分类和关联规则挖掘。这些模型在构建高度精确的分类器中非常流行,并已在许多实际应用中使用。

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