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.
['Dong Lihong', 'Hou Yun-bing']
Study on Data Quality Evaluation of Coal and Gas Outburst