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Apparatus and method to facilitate an iterative, machine learning based traffic classification

机译:便于迭代,基于机器学习的业务分类的装置和方法

摘要

Aspects of the subject disclosure may include, for example, applying a model to a first unlabeled traffic item to generate a classification of the first unlabeled traffic item as a first class of traffic items or a second class of traffic items, generating a first score that is representative of a first confidence of the classification, determining that the first score is greater than a first threshold, and responsive to determining that the first score is greater than the first threshold, refining the model in accordance with at least the classification, resulting in a modified model. Other embodiments are disclosed.
机译:主题公开的方面可以包括例如将模型应用于第一未标记的业务项,以生成第一未标记的业务项的分类作为第一类业务项或第二类业务项,从而生成第一个分数 代表分类的第一置信度,确定第一分数大于第一阈值,并且响应于确定第一分数大于第一阈值,根据至少分类来改进模型,从而导致 修改模型。 公开了其他实施例。

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