基于加速方法的离群数据清理研究

2010 2nd IEEE International Conference on Information Management and Engineering Pub Date : 2010-04-16 DOI:10.1109/ICIME.2010.5477757

Heyong Wang, Mingjian Li, Bingchuan Chen

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引用次数: 1

摘要

在数据集成过程中，提出了加速趋势对比法来处理离群数据。即通过加速趋势比较发现离群数据。在本文的最后，对离群数据清理结果的算法进行了具体的描述。通过实验，可以提高离群数据的检测和数据质量。

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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The research of outlier data cleaning based on accelerating method

During the data integration process, it puts forward the accelerating trend comparison method to deal with the outlier data in this paper. Namely outlier data is discovered through the accelerating trend comparison. At the end of this article, it gives a specific description of the algorithm of outlier data cleaning results. It can improve the detection of outlier data and the data quality through the experiments.

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2010 2nd IEEE International Conference on Information Management and Engineering

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