鉴于有一个详尽的内部数据库以及对于全厂信息系统的数据关联，这就完全有可能把纤维配料的特性与手抄纸页的特性在同一个时间窗口中相互关联。
With anextensive internal data base and data linking to millwide information systemsit is possible to relate fibre furnish properties to handsheet propertieswithin the same time window.
对告警发生的时间特性进行了分析，给出了一种自动伸缩的关联窗口选择算法，保证了告警集合的完整性。
After analyzing the temporal character of alarm, an auto-flexible correlation window selection algorithm is given to assure the integrity of alarm set.
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。
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of association rules, which can focus on finding strong association rules within current data and avoid the use of outdated data.
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