CAJ | 학술논문

随着技术发展，财政系统信息化建设得到较好发展，各类业务管理系统积累了大量的数据，如何在海量数据中挖掘有用的信息资源，就显得十分迫切。简述了数据仓库、知识发现和数据挖掘的产生、发展及相关技术和应用，研究了聚类算法及聚类分析的度量标准。以聚类算法为例，讲述了针对实际应用中数据挖掘算法的应用改进。提出了应用推广阶段的改进型聚类分析算法，并对某市财政的数据集合进行了实验分析。针对财政决策系统的应用整合问题，选择以某市财政决策管理系统为例，介绍了进行数据挖掘之前要经历的步骤，最后得出了税源户聚类信息。
수착기술발전，재정계통신식화건설득도교호발전，각류업무관리계통적루료대량적수거，여하재해량수거중알굴유용적신식자원，취현득십분박절。간술료수거창고、지식발현화수거알굴적산생、발전급상관기술화응용，연구료취류산법급취류분석적도량표준。이취류산법위례，강술료침대실제응용중수거알굴산법적응용개진。제출료응용추엄계단적개진형취류분석산법，병대모시재정적수거집합진행료실험분석。침대재정결책계통적응용정합문제，선택이모시재정결책관리계통위례，개소료진행수거알굴지전요경력적보취，최후득출료세원호취류신식。
With the development of technology ,finance system informationization has been expanded and substantial data has been accumulated in various business management systems .Thus ,it is imperative to understand how to acquire useful information resources from mass data .This paper gives a brief introduc‐tion of emergence ,development ,related technologies and application of data warehouse ,knowledge dis‐covery and data mining ,and researches clustering algorithm and the metric of clustering analysis .Take clustering algorithm for instance ,application improvement to data mining algorithm in practical application is represented ,and then the optimal clustering analysis algorithm is proposed in application promotion stage ,and experimental analysis is conducted to the data set of an urban finance system .In brief ,directing at the application integration problem of finance decision making system ,this paper takes an urban finance system as an example to introduce necessary steps before data mining ,and finally acquires clustering infor‐mation of tax source .