• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>The international arab journal of information technology >A Decision Support System Using Demographic Issues: A Case Study in Turkey
【24h】

A Decision Support System Using Demographic Issues: A Case Study in Turkey

机译：使用人口统计问题的决策支持系统：土耳其的案例研究

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The demographic distribution of people by cities is an important parameter to address the people's behaviour. To distinguish people behaviour is useful for companies to understand the customer behaviour. In this article, a case study covering all 81 cities in Turkey and measuring 35 topics for each of them is handled. By using these topics and cities, it is investigated that how the cities are clustered. Because its efficiency, the Agglomerative hierarchical clustering and the K-medoids clustering methods in rapidminer data mining software are used to cluster the data. To measure the efficiency of the agglomerative clustering algorithm, the Cophenetic Correlation Coefficient (CPCC) is used. After clustering, the results are inserted into a geographic information system to depict the results in a Turkey map. The results show that, the cities distributed in the same geographical areas are in the same clusters with some exempts. On the other hand, some cities those are in different provinces show the same behaviour. The results of the study can also be used as a decision support system for a customer relations management.
机译：城市人口分布是解决人民行为的重要参数。区分人的行为对于公司了解客户行为很有用。本文处理的案例研究涵盖了土耳其的所有81个城市，并为每个城市衡量了35个主题。通过使用这些主题和城市，研究了城市如何聚集。由于高效，快速矿工数据挖掘软件中的聚集层次聚类和K-medoids聚类方法用于对数据进行聚类。为了测量凝聚聚类算法的效率，使用了Cophenetic Correlation Coefficient（CPCC）。聚类后​​，将结果插入到地理信息系统中，以在土耳其地图中描绘结果。结果表明，分布在相同地理区域内的城市属于同一集群，但有一些豁免。另一方面，位于不同省份的一些城市表现出相同的行为。研究结果还可以用作客户关系管理的决策支持系统。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号