如何清理数据?

13th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises Pub Date : 2004-06-14 DOI:10.1109/ENABL.2004.36

M. Bishop, B. Bhumiratana, Rick Crawford, K. Levitt

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引用次数: 34

摘要

在数据清理时，平衡数据分析师的需求和数据提供者的隐私需求是一个关键问题。我们将分析人员的需求和隐私期望都视为策略，并组合这两个策略来检测冲突。结果可以应用于中间数据表示，以清除数据的相关部分。我们的结论是，这种方法是有希望的，但需要更多的工作来确定其有效性和局限性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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How to sanitize data?

Balancing the needs of a data analyst with the privacy needs of a data provider is a key issue when data is sanitized. We treat both the requirements of the analyst and the privacy expectations as policies, and compose the two policies to detect conflicts. The result can be applied to an intermediate data representation to sanitize the relevant pans of the data. We conclude that this method has promise, but more work is needed to determine its effectiveness and limits.

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13th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises

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