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基于FP-Growth的战略绩效关联分析算法研究
引用本文:李良,米智伟,向新.基于FP-Growth的战略绩效关联分析算法研究[J].微计算机应用,2011,32(2):1-8.
作者姓名:李良  米智伟  向新
作者单位:上海大学,计算机集成制造中心,上海,200072
基金项目:上海市教委"上海大学SAP不动产项目
摘    要:在处理战略绩效KPI关联规则挖掘的问题时,由于FP-Growth不能根据业务的需要简化计算过程,从而产生了许多冗余计算,影响了算法的效率。因此,提出了一种基于FP-Growth的战略绩效关联分析算法。通过采用基于规则的约束方法对FP-Growth算法进行改进。一方面,在挖掘的过程中添加剪枝操作,提高频繁项集的挖掘效率;另一方面,在关联规则产生过程中,添加规则约束,生成符合业务要求的关联规则,从而减少了冗余计算,提高了算法的效率。最后,以"某高校科研服务质量指标"为例,验证了该算法的可行性。

关 键 词:FP-Growth  关联规则  数据挖掘  战略管理  绩效评估  关键绩效指标

Research on Association Analysis Algorithm of Strategic Performance Based on FP- Growth
LI Liang,MI Zhiwei,XIANG Xin.Research on Association Analysis Algorithm of Strategic Performance Based on FP- Growth[J].Microcomputer Applications,2011,32(2):1-8.
Authors:LI Liang  MI Zhiwei  XIANG Xin
Affiliation:LI Liang,MI Zhiwei,XIANG Xin(Computer Integrated Manufacturing Center,Shanghai University,Shanghai,200072,China)
Abstract:When dealing with the issues of KPI association rule mining on strategic performance,FP-Growth can't simplify the computing process according to requirements of business,and caused lots of redundant computing which effected the efficiency of the algorithm,So a FP-Growth based association analysis algorithm of strategic performance is proposed.By the constraint method based on rules,the FP-Growth algorithm is advanced.On the one hand,the efficiency of frequent item set mining is improved by adding clipping o...
Keywords:FP-Growth  Association Rule  Data Mining  Strategy Management  Performance Evaluation  KPI  
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