摘要
为了快速、高效地评估和解决ERP系统的数据质量问题,提出一种基于二进制编码方式的数据质量评估方法。通过在二进制级别进行概率估计与编码,有效地降低了计算机对数据处理时所面临的复杂度问题,提高了运算效率,能有效缩短评估所耗的计算时间。在计算结果的基础上,建立隐马尔科夫模型,并根据ERP系统的实际业务需要,对此模型进行了合理的修改优化。运用此模型对ERP系统中数据质量问题进行了概率统计和预测,最终在短时间内提供直观准确的数据质量评估结果,并对未来数据质量情况进行了客观的预测。
A data quality assessment model and its solution algorithm based on binary coding mode is proposed in order to assess and solvethe ERP system data quality issues quickly and efficiently. The probability estimation and coding of data on binary level can reduce the complexities faced with the data processing and the time of the estimation. Hidden Markov model based on the results of the calculation was estallished. According to the actual business needs, this model can be amended and optimized to perform the probability statisticsand forecast for the data quality issues in ERP systems. The visual and accurate results of the data quality assessment can be provided in a short time and also its forecast presented.
出处
《现代电子技术》
2010年第8期59-61,共3页
Modern Electronics Technique
关键词
二进制编码
隐马尔科夫模型
数据质量评估模型
ERP
binary coding
hidden Markov model
data quality assessment model
enterprise resource planning
