摘要
为挖掘公司股东关联关系,选用数据挖掘中关联规则的经典Apriori算法,使用Python编程语言对金融行业公司股东进行关联分析。在支持度阈值为10%、置信度阈值为70%条件下,挖掘出12条强关联规则,如香港中央结算有限公司(陆股通)、中央汇金资产管理有限责任公司共同投资某金融企业时,中国证券金融股份有限公司投资可能性达100%等。该方法拓展了Apriori算法关联规则的应用领域,为挖掘行业股东关联提供参考依据。
In order to mine the association relationship of company shareholders,this article selects the classic algorithm of association rules in data mining-Apriori algorithm,and uses Python programming language to analyze the association of company shareholders in the financial industry.The results are as follows:the support threshold is 10%and the confidence threshold under 70%of the condi⁃tion,12 strong association rules were discovered,such as when Hong Kong Central Clearing Company Limited(Continental stock link)and Central Huijin-Investment Corporation Limited jointly invest in a financial enterprise,China Securities Finance Corporation investment possibility is up to 100%etc.This paper expands the application field of Apriori algorithm association rules and provides a reference basis for mining industry shareholders association.
作者
李芳
郭进利
谭利明
LI Fang;GUO Jin-li;TAN Li-ming(College of Management,University of Shanghai for Science and Technology,Shanghai 200093,China)
出处
《软件导刊》
2021年第3期106-109,共4页
Software Guide
基金
国家自然科学基金项目(71571119)。
