摘要
Abstract
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 .关键词
财政/数据仓库/数据挖掘/聚类/K-M eansKey words
finance/data warehouse/data mining/clustering/K -Means分类
信息技术与安全科学
