DQI:数据质量指标
“数据质量指标”(Data Quality Index)是一个衡量数据整体质量水平的关键评估体系,常被简称为DQI,以便在各类文档和交流中实现快捷书写与高效使用。这一术语广泛应用于数据处理、信息管理及跨行业分析等综合性领域,涵盖了对准确性、一致性、完整性等多维度的评估,目前尚无统一分类标准,属于通用性较强的专业概念。
Data Quality Index具体释义
Data Quality Index的英文发音
例句
- Spatial data quality model is put forward. Then the method for testing and evaluating each spatial data quality index is described, and the automatic method is stressed.
- 针对空间数据质量控制探讨较少的状况,提出了空间数据质量模型,阐述了各质量指标的检验与评价方法,重点探讨了自动检查与评价方法。
- Parameter estimation is an important issue when the existing mechanism water quality model is applied in water quality simulation and prediction. In most cases, parameter estimation is transformed into optimization problem which minimizes the total error summation between measured data and simulated data of water quality index.
- 在实际的水质模拟预测中,机理性水质模型的参数估值问题,通常是转化为最小化水质指标测量值和模拟值之间的误差平方和。
- These models can be used to control doping percentage as well as determine cutting point. Firstly, the performance indicators of pure oil quality are determined according to the experimental data, and quality index forecast models are established with the help of BP neural networks.
- 首先,通过实验,取得大量实验数据,从而确定掺混量对油品使用性能质量指标的影响,建立了质量指标预测的神经网络模型。
- Data quality controlling is a important index for topographic digital map.
- 数据质量控制是良好的数字地形图质量的重要保证。
- Rock mechanical parameters are given by means of a comprehensive analysis of the correlation between in-situ test data and rock mass quality classification index.
- 并采用现场试验资料与岩体质量分级指标的相互关系做综合分析,提出不同级别岩体的力学参数及工程地质性质。
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