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Automatic attribute structural variation detection for not only structured query language database

机译:不只是结构化查询语言数据库的自动属性结构变化检测

摘要

Methods and a system are provided. A method includes automatically detecting, by an attribute structural variation detector, attribute structural variations in record schemas of a database lacking schema enforcement. The automatically detecting step includes encoding, by an encoder, nodes in the record schemas based on respective updated node labels to obtain a plurality of codes. The automatically detecting step further includes clustering, by a clusterer, the plurality of codes into one of a used category and an unused category. The used category and the unused category respectively consist of any of the plurality of codes used or unused to update a child label. The automatically detecting step also includes, when an intersection set formed from the used and unused categories has at least one member, retrieving, by the attribute structural variation detector, the at least one member as a structural variation between at least two of the record schemas.
机译:提供了方法和系统。一种方法包括通过属性结构变化检测器自动检测缺乏模式执行的数据库的记录模式中的属性结构变化。自动检测步骤包括:基于各个更新的节点标签,由编码器对记录模式中的节点进行编码,以获得多个代码。自动检测步骤还包括由聚类器将多个代码聚类为已使用类别和未使用类别之一。使用类别和未使用类别分别由用于更新子标签的多个或未使用的多个代码中的任何一个组成。自动检测步骤还包括,当由已使用和未使用类别构成的交集具有至少一个成员时,通过属性结构变化检测器检索至少一个成员,作为至少两个记录模式之间的结构变化。 。

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