湖北农业科学 ›› 2021, Vol. 60 ›› Issue (22): 164-167.doi: 10.14088/j.cnki.issn0439-8114.2021.22.035

• 信息工程 • 上一篇    下一篇

基于数据挖掘模型的区域经济数据分析系统设计及应用

程童   

  1. 陕西警官职业学院基础部,西安 710021
  • 收稿日期:2021-08-16 出版日期:2021-11-25 发布日期:2021-12-10
  • 作者简介:程童(1986-),女,山西长治人,讲师,硕士,主要从事管理学、经济学方向研究,(电话)15509185270(电子信箱)wenbin304@sina.com。
  • 基金资助:
    陕西省教育厅2021年度一般专项科研计划项目(21JK0060)

Application of regional economic data analysis system based on data mining model

CHENG Tong   

  1. Basic Department of Shaanxi Police Officer Vocational College,Xi'an 710021,China
  • Received:2021-08-16 Online:2021-11-25 Published:2021-12-10

摘要: 在区域经济分析中,由于分散化的数据库形式以及多源异构的数据类型,使得对区域经济数据的分析难以获得令人满意的效果。基于区域经济特征,提出采用Multi-Agents分布式数据管理模式来构建区域经济分析的数据挖掘应用框架,通过XML Web Service技术和XML格式访问建立系统的4层结构体系,实现多数据库访问Agent来集中管理数据访问,并引入Microsoft 时序算法和期望最大化算法进行异构采集和数据挖掘。采用C#语言开发区域经济数据分析系统,实现对不同数据库数据的采集、数据挖掘、结构展示,为用户提供跨数据库平台的数据共享环境。

关键词: 区域经济, 数据挖掘, Multi-Agents, 分布式数据管理

Abstract: In the regional economic analysis, the analysis of the regional economic data is difficult to obtain satisfactory results. Based on the regional economic characteristics, this paper adopts Multi-Agents distributed data management mode to build the data mining application framework of regional economic analysis, establishes the four-layer structure system through XML Web Service technology and XML format access, realizes multi-database access agent to centrally manage data access, and introduces Microsoft time sequence algorithm and expectation maximization algorithm for heterogeneous acquisition and data mining. Using C# language to develop regional economic data analysis system, it realizes data mining and structure display of different database data, and provides users with data sharing environment across database platforms.

Key words: regional economy, data mining, Multi-Agents, distributed data management

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