计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (10): 239-241.DOI: 10.3778/j.issn.1002-8331.2010.10.074

• 工程与应用 • 上一篇    下一篇

ID3算法在ATM选点预测系统中的应用

于海涛,姚耀文   

  1. 华南理工大学 计算机科学与工程学院,广州 510006
  • 收稿日期:2008-09-23 修回日期:2008-12-15 出版日期:2010-04-01 发布日期:2010-04-01
  • 通讯作者: 于海涛

Application of ID3 algorithm in ATM election prediction system

YU Hai-tao,YAO Yao-wen   

  1. College of Computer Science and Engineering,South China University of Technology,Guangzhou 510006,China
  • Received:2008-09-23 Revised:2008-12-15 Online:2010-04-01 Published:2010-04-01
  • Contact: YU Hai-tao

摘要: ATM的应用日益广泛,如何部署一个利用率高的ATM已成为一个值得探讨的问题。运用数据挖掘知识和决策树ID3算法,可以对已经部署ATM的地区进行分析,从而找出高利用率ATM地区的特征,并建立ATM选点模型,作为金融机构在何处部署高效的ATM的参考。

关键词: 自动柜员机(ATM), 部署, 数据挖掘, 决策树, ID3 算法

Abstract: ATMs are in widespread use.How to deploy a high utilization rate’s ATM is a problem which worths exploring.Analyzing the area’s characteristics of the ATMs which have been deployed by using the knowledge of data mining and decision tree(ID3 algorithm) can find the area’s features of the high utilization rate and establish the election model which gives financial institution an advice for the deployment of ATM machines.

Key words: Automatic Teller Machine(ATM), deployment, data mining, decision trees, ID3 algorithm

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