Determining Factors for Slum Growth with Predictive Data Mining Methods

Determining Factors for Slum Growth with Predictive Data Mining Methods
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使用预测数据挖掘方法确定贫民窟增长的因素

DOI:
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发表时间:
2018
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影响因子:
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通讯作者:
Johannes Fürnkranz
Johannes Fürnkranz
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作者:
John Friesen;Lea Rausch;P. Pelz;Johannes Fürnkranz

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目前,世界上一半以上的人口生活在城市。在这40多亿人中,几乎四分之一生活在贫民窟或非正式住区。为了改善居住条件并为贫民窟中的主要问题(如基础设施不足)提供可能的解决办法,必须了解这种形式的定居点的现状及其发展。有许多不同的模型试图模拟贫民窟的发展。在这篇文章中,我们提出了数据挖掘模型,将关于贫民窟时间发展的信息与其他经济、生态和人口因素关联起来,以确定相关性。使用不同的学习算法,如决策规则和决策树,从数据中学习贫民窟发展的描述性模型,并使用数据挖掘中常用的属性评估方法对结果进行评估。这些结果从数量上证实了以前关于贫民窟发展的各种说法,例如贫民窟发展与一个国家的人口发展密切相关这一事实。将采用的分类模型应用于不同区域的最新数据,可以表明,非洲的贫民窟发展预计将高于平均水平。
Currently, more than half of the world’s population lives in cities. Out of these more than four billion people, almost one quarter live in slums or informal settlements. In order to improve living conditions and provide possible solutions for the major problems in slums (e.g., insufficient infrastructure), it is important to understand the current situation of this form of settlement and its development. There are many different models that attempt to simulate the development of slums. In this paper, we present data mining models that correlate information about the temporal development of slums with other economic, ecologic, and demographic factors in order to identify dependencies. Different learning algorithms, such as decision rules and decision trees, are used to learn descriptive models for slum development from data, and the results are evaluated with commonly used attribute evaluation methods known from data mining. The results confirm various previously made statements about slum development in a quantitative way, such as the fact that slum development is very strongly linked to the demographic development of a country. Applying the introduced classification models to the most recent data for different regions, it can be shown that the slum development in Africa is expected to be above average.
DOI: 10.1016/j.socscimed.2014.08.021
发表时间: 2014-10
影响因子: 5.4
作者:
Subbaraman, Ramnath;Nolan, Laura;Shitole, Tejal;Sawant, Kiran;Shitole, Shrutika;Sood, Kunal;Nanarkar, Mahesh;Ghannam, Jess;Betancourt, Theresa S.;Bloom, David E.;Patil-Deshmukh, Anita
通讯作者: Patil-Deshmukh, Anita