论文标题:电力企业（上市公司）核心竞争力识别及应用研究
Identify and Application of the Core Competencies in the Electric Power Enterprises (the Listed Company)
论文作者
论文导师 周建国,论文学位 硕士,论文专业 管理科学与工程
论文单位 华北电力大学（河北）,点击次数 75,论文页数 53页File Size273k
2004-12-22论文网 http://www.lw23.com/lunwen_83982677/
core competencies identify; Spearman order relational coefficient; Rough Set; Data Mining
在不影响数据挖掘质量的前提下,减少数据挖掘的工作量,以提高数据挖掘的工作效率十分重要。本文将Spearman 秩相关检验法、粗糙集与数据挖掘算法结合起来,提出了一种提高数据挖掘效率的组合数据挖掘模型。基本步骤是,首先运用相关系数分析和Spearman 秩相关检验法对数据库中数据指标体系进行筛选;接着,利用粗糙集理论对筛选后的指标体系进行数据归约;然后,在简化数据指标的基础上进行数据挖掘,找出相关的关联规则。文章最后将此模型应用于电力企业(上市公司)核心竞争力识别,重点旨在挖掘出电力企业的核心竞争力,指导企业制订长久的战略方针政策。
It is very important to decrease calculation for improving the efficiency of the Data Mining, on the premise that the calculated result doesn’t change. This paper combines Spearman Order Relational Coefficient and Rough Set with Data Mining, and provide a combined model of improving the efficiency of the Data Mining. The basic steps are, firstly, we will sift the data of the indexes system in the database by the Analysis of Coefficient Correlation and Spearman Order Relational Coefficient; secondly, simplify the data of the sifted indexes system by Rough Set theory; thirdly, then find out the related rules by Data Mining. In the end of the paper, we identify the core competencies of the listed power enterprises by this model, and dig out the core competencies to guide the enterprise to establish the long-last policies.
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