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Regarding to the disadvantage of Naive Bayesian Classifier (NBC), this paper proposes a new weighted Naive Bayesian Classifier model, which is based on information gain theory (IGWNBC). Using information gain of attribute in attribute set in sample space, we can reduce attribute set, and assign relative weight to each classification attribute. And the(More)
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