通过定义的规则集，将分析和关联这些事件，以触发特定操作或生成派生事件，而这又反过来可供进行进一步分析和关联。

Through a defined set of rules, those events are analyzed and correlated to trigger specific actions or generate derived events, which can in turn contribute to further analysis and correlation.

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通过获取、关联、分析和管理对需求所做的更改，团队可以确保项目与目标保持一致，并遵循了规则和标准。

By capturing, linking, analyzing, and managing changes to requirements, teams can ensure that a project is conforming to requirements and complying with regulations and standards.

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数据挖掘通常涉及到一些标准的任务，包括聚集、分类、回归分析和关联性规则学习。

Data mining commonly involves a few standard tasks that include clustering, classification, regression, and associated rule learning.

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