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Method for extracting signature from problem records through unstructured and structured text mapping, classification and ranking

机译:通过非结构化和结构化文本映射,分类和排序从问题记录中提取签名的方法

摘要

The structure attributes and unstructured attributes of a ticket are used to generate a problem signature. For structured attributes, correlation between field values is determined and fields with the highest weight are identified. For unstructured attributes, data mining techniques are applied to generate a plurality of keywords with a ranking for each ticket by identifying keywords, and commonly used acronyms and corpus variances. The set of structured attributes and the plurality of keywords from unstructured attributes form the signature of a given problem ticket.
机译:故障单的结构属性和非结构化属性用于生成问题签名。对于结构化属性,确定字段值之间的相关性,并标识具有最高权重的字段。对于非结构化属性,数据挖掘技术应用于通过识别关键字以及常用的首字母缩写词和语料库差异来生成每个关键字具有排名的多个关键字。该组结构化属性和来自非结构化属性的多个关键字形成给定问题单的签名。

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