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Study on Data Quality Evaluation of Coal and Gas Outburst

机译:煤与瓦斯突出数据质量评价研究

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Data quality evaluation is an important part of the process of data mining. This article has build the information quality evaluation index system and evaluation model, determines the quantitative index for each quality dimension, and also demonstrates the formulas to calculate them. The article takes the completeness as an example: Evaluate the information quality completeness dimension of key factors about coal and gas outburst, and, accordingly, finish the completeness evaluations of other dimensions, which can provide effective approaches and basis for DM data acquisition and pre-processing in predicting coal and gas outburst.
机译:数据质量评估是数据挖掘过程中的重要组成部分。本文建立了信息质量评价指标体系和评价模型,确定了各个质量维度的定量指标,并给出了计算公式。本文以完整性为例:评估煤与瓦斯突出关键因素的信息质量完整性维度,并据此完成其他维度的完整性评估,这可以为DM数据获取和预评估提供有效的方法和基础。在预测煤与瓦斯突出方面进行处理。

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