Exploring the Patterns and Relationships of Urban Attributes by Data Mining

被引：0

作者：

Sokmenoglu, Ahu ^{[1
]}

Cagdas, Gulen ^{[2
]}

Sariyildiz, Sevil ^{[3
]}

机构：

[1] ITU, Istanbul, Turkey

[2] ITU, Istanbul, Turkey

[3] Delft Univ Technol, Istanbul, Turkey

来源：

ECAADE 2010: FUTURE CITIES | 2010年

关键词：

Urban feature analysis; data mining; urban database; urban context; urban attributes;

D O I：

暂无

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

This paper introduce an ongoing research project aiming to research data mining as a methodology of knowledge discovery in urban feature analysis. A methodology is developed for formulation and analysis of an urban database by applying data mining methodologies in order to identify the patterns and relationships among multiple urban attributes. The urban database is built upon real and official data of a historical neighborhood of Istanbul.

引用

下载

页码：873 / 881

页数：9

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