In addition, Experiment showed that improved algorithms of this paper are feasible and effective in dealing with noisy data.
本文实验结果表明,本文改进的基于粗糙集的算法对噪声数据的处理可行、有效。
参考来源 - 基于粗糙集的数据挖掘算法的研究与应用·2,447,543篇论文数据，部分数据来源于NoteExpress
Even noisy data with false positives can be useful.
甚至是假阳性的干扰数据都会非常有用。
What are the different strategies for detecting noisy data in a pile of text?
用于检测在一堆文本嘈杂的数据不同的策略是什么？
A simple example is used to illustrate their fitness to evaluate rough decision rules retrieved from noisy data.
通过举例分析，说明它们更适于评价从有噪声数据中提取的粗糙决策规则。
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