2009
DOI: 10.1016/j.eswa.2009.03.068
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Parametric and nonparametric evolutionary computing with a content-based feature selection approach for parallel categorization

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Cited by 4 publications
(1 citation statement)
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“…The model is on the basis of the idea that, the meaning of a document can be conveyed by its words. And the weight of each feature, which represents the contribution of every word, is evaluated by a statistical rule [25][26][27]. It is implemented through creating a term-document matrix that represents all dataset.…”
Section: Vector Space Model (Vsm)mentioning
confidence: 99%
“…The model is on the basis of the idea that, the meaning of a document can be conveyed by its words. And the weight of each feature, which represents the contribution of every word, is evaluated by a statistical rule [25][26][27]. It is implemented through creating a term-document matrix that represents all dataset.…”
Section: Vector Space Model (Vsm)mentioning
confidence: 99%