We propose a time windowing technique for the incremental maintenance of association rules, which can focus on finding strong association rules within current data and avoid the use of outdated data.

笔者提出一种用于增量式关联规则维护的时间窗口技术。该技术可以集中在当前数据中发现强关联规则，避免利用过时数据。

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We propose a time windowing technique for the incremental maintenance of association rules, which can focus on finding strong association rules within current data and avoid the use of outdated data.

笔者提出一种用于增量式关联规则维护的时间窗口技术。该技术可以集中在当前数据中发现强关联规则，避免利用过时数据。

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