多样相关性是用与无监视和强化学习的焦点日志数据剖析使用案例。

Multilog correlation is a core log-data analysis use case for unsupervised and reinforcement learning.

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许多数据平台能够提供集成的数据剖析，能够不考虑复杂性而预先地认定及修复问题。

Many data platforms can provide integrated data profiling to proactively identify issues and also fix these issues, regardless of the complexity.

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在本文中，我会反复提及称为“最近邻”的数据挖掘方法，但我不会过多地对其进行剖析，详细的介绍会在第3部分给出。

In this article, I will also make repeated references to the data mining method called "nearest neighbor," though I won't actually delve into the details until Part 3.

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