CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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id ecaade2010_139
authors Sokmenoglu, Ahu; Cagdas, Gulen; Sar_y_ld_z, Sevil
year 2010
title Exploring the Patterns and Relationships of Urban Attributes by Data Mining
doi https://doi.org/10.52842/conf.ecaade.2010.873
source FUTURE CITIES [28th eCAADe Conference Proceedings / ISBN 978-0-9541183-9-6] ETH Zurich (Switzerland) 15-18 September 2010, pp.873-881
wos WOS:000340629400093
summary 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.
keywords Urban feature analysis; Data mining; Urban database; Urban context; Urban attributes
series eCAADe
email
full text file.pdf (2,401,082 bytes)
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