The result is, potentially, bad data.
结果可能造成错误的数据。
It's a bad data mining model for this data.
对于这类数据，分类树是一种极不适合的数据挖掘模型。
We use data quality tools to profile and cleanse bad data.
我们使用数据质量工具来配置和清洗错误数据。
Savings from better data quality (lower cost to fix bad data)
数据质量提高带来的节约（降低了修改错误数据的成本）
More and more newly created bad data will creep into the system.
越来越多的新创建的错误数据会蔓延到该系统。
Last, it is very, very hard to fix bad data using technical tools alone.
最后，仅仅使用专业工具来修复错误数据是异常困难的。
Happily, there's more than one way to protect software from bad data.
令人高兴的是，有很多方法可以保护软件免受坏数据的侵害。
Similarly, bad data has a pervasive negative impact on business performance.
同样，劣质的数据会对企业的业务绩效造成广泛的负面影响。
Bad data structure initializations going out of bounds of the allocated memory.
数据结构不正确的初始化超出了分配内存的边界。
Errors in forecasting can result from bad data, wrong assumptions or a faulty model.
预测的误差可能来自错误的数据、错误的假设或错误的模型。
There is no transparency and accountability, and this is the root cause of bad data.
产生劣质数据的根源在于缺乏透明度和问责制。
Why can't Word recognize when it's received bad data and simply put up an error message?
Word为什么不能意识到它接收到了坏的数据，并发出一条错误信息呢？
Another problem may manifest itself with bad data coming from an important database query.
通过重要的数据库查询得到的错误数据可以证明存在其他问题。
This flexibility, however, comes at a big cost — your system is more vulnerable to bad data.
然而，获得这种灵活性所付出的代价相当昂贵——您的系统会更容易受到坏数据的攻击。
This error is returned if GRUB was expecting to read a number and encountered bad data.
当GRUB预期读到一个数字但是碰到非法数据时返回此错误。
If you are passing arrays or Pointers, then you REALLY better be watching for errors or bad data.
如果要传递数组或指针，那么最好小心错误和坏数据的出现。
In fuzz testing, you attack a program with random bad data (aka fuzz), then wait to see what breaks.
在模糊测试中，用随机坏数据(也称做fuzz)攻击一个程序，然后等着观察哪里遭到了破坏。
Conventions for addressing null values are also important, as is what to do when we receive bad data.
处理空值的约定也很重要，当我们收到坏数据时就这样做。
What if someone is deliberately introducing bad data in the hopes of breaching your program's security?
如果有人故意引入坏数据来破坏程序的安全性又该如何呢？
The drawback, however, is that bad data frames, as well as good frames, are sent to their destinations.
但缺点是错误数据帧及正确数据帧都被发送到了目的地。
To understand how to deal with bad data, you should get familiar with some of the basic problems you face.
要了解如何处理不良数据，应当熟悉一些需要面对的基本问题。
One form of hacker attack even involves feeding bad data to ARP tables, a practice known as ARP poisoning.
黑客攻击的一种形式就包括修改恶意数据到ARP映射缓存，即所谓的ARP中毒。
Most bad data is much less egregious, and is more often a result of typos, transposed tracks, and the like.
大多数坏数据并没有那么过份，通常是拼写错误、曲目位置颠倒之类的错误。
One important function of Power System State Estimation is identification and suppression of bad data.
不良数据检测和辩识是电力系统状态估计中的一个重要环节。
Lastly, several conclusions on bad data detection and identification for distribution system are given.
最后，得到了配电网络不良数据检测与辨识的若干结论。
At the present, the monitoring systems mostly have sole function and bad data transmission reliability.
当今，已有的远动系统监测系统大多功能单一，数据传输的可靠性差。
It doesn't matter how good the database software is — if you put bad data in a database, nothing else matters.
这与数据库软件的好坏无关，如果将坏数据放入数据库中，其他一切都不重要了。
Strictly speaking, these projects represent a cost of bad data in addition to degradation of business performance.
严格地说，这些项目反映了除业务性能降低之外还有劣质数据的损失。
And, even if the project is successful, and bad data is transformed to good data, the repository immediately starts to degrade.
而且，即使项目成功实施，错误的数据转化为良好的数据，存储库还会立即失去作用。
The problem about bad data detection and identification in distribution system state estimation is focused in this thesis.
本文着重分析了配电网状态估计中的不良数据检测与辨识的问题。
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