通过基于主动决策引擎日志的数据挖掘来找到分析规则的CUBE使用模式,从而为多维数据实视图选择算法提供重要依据;在此基础上设计了3A概率模型,并给出考虑CUBE受访概率分布的视图选择贪婪算法PGreedy(probability greedy),以及结合视图...通过基于主动决策引擎日志的数据挖掘来找到分析规则的CUBE使用模式,从而为多维数据实视图选择算法提供重要依据;在此基础上设计了3A概率模型,并给出考虑CUBE受访概率分布的视图选择贪婪算法PGreedy(probability greedy),以及结合视图挽留原则的视图动态调整算法.实验结果表明,在实时主动数据仓库环境下,PGreedy算法比BPUS(benefit per unit space)算法具有更好的性能.展开更多
In this paper, we introduce the origination of the DW ideology and its architecture & principles,as well as relative techniques. With the example that the MIS of ENWEI company, we discuss how to apply the base the...In this paper, we introduce the origination of the DW ideology and its architecture & principles,as well as relative techniques. With the example that the MIS of ENWEI company, we discuss how to apply the base theories of DW and implement its main techniques in modern companies. At the end of this paper ,we propose the ways that how to build an effective Decision Support System based on the MIS of ENWEI company.展开更多
基金Supported by the National Natural Science Foundation of China under Grant No.60473051 (国家自然科学基金) the China HP Co. and Peking University Joint Project (北京大学-惠普(中国)合作项目)
文摘通过基于主动决策引擎日志的数据挖掘来找到分析规则的CUBE使用模式,从而为多维数据实视图选择算法提供重要依据;在此基础上设计了3A概率模型,并给出考虑CUBE受访概率分布的视图选择贪婪算法PGreedy(probability greedy),以及结合视图挽留原则的视图动态调整算法.实验结果表明,在实时主动数据仓库环境下,PGreedy算法比BPUS(benefit per unit space)算法具有更好的性能.
文摘In this paper, we introduce the origination of the DW ideology and its architecture & principles,as well as relative techniques. With the example that the MIS of ENWEI company, we discuss how to apply the base theories of DW and implement its main techniques in modern companies. At the end of this paper ,we propose the ways that how to build an effective Decision Support System based on the MIS of ENWEI company.
