摘要
针对制造业价值链的特点,引入OLAM技术,建立一种基于OLAM的面向过程的制造业商务智能模型.建立生产数据多维数据集,通过线性回归分析完成对生产数据的联机分析挖掘,预测不同维度和层次的产品生产量,表明在制造业商务智能系统中运用OLAM使用户可以对感兴趣的维度进行挖掘,增强挖掘的针对性,使分析维的个数降低,提高挖掘效率.
Aimed the characteristics of manufacturing value chain of manufacturing enterprise, the technique of OLAM was introduced and a process-oriented and a business intelligence model based on OLAM was established for manufacturing enterprise. Linear regression analysis was used to analyze and mine the production data on-line and predict the output of production in different dimensions and on different levels. It was shown that the use of OLAM in business intelligence system for manufacturing enterprise allowed the users to mine those dimensions they were interested, made the mining pertinence clearer, and, meantime, the number of analyzed dimensions was decreased so that the data mining efficiency was improved.
出处
《兰州理工大学学报》
CAS
北大核心
2009年第2期93-97,共5页
Journal of Lanzhou University of Technology
基金
甘肃省科技攻关项目(2GS052-A52-003-11)
关键词
商务智能模型
多维数据集
联机分析处理
联机分析挖掘
business intelligence model
multi-dimensional data sets
on-line analysis processing
on-line analysis mining
