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_138
authors Sokmenoglu, Ahu; Akgul, Ceyhun Burak
year 2010
title Exploring the Patterns and Trends of Socio-spatial Activities of Architecture Student Community in Istanbul by Data Mining
source FUTURE CITIES [28th eCAADe Conference Proceedings / ISBN 978-0-9541183-9-6] ETH Zurich (Switzerland) 15-18 September 2010, pp.143-150
wos WOS:000340629400015
summary In this paper, we introduce the process and the outcomes of a graduate-level digital architectural design studio course aiming to explore the patterns and trends of socio-spatial preferences and activities of architecture student community in Istanbul. In the scope of this experimental studio, our aim was to propose data mining as a rigorous methodology for the analysis of sociospatial problems. Specifically, we designed a detailed set of questionnaires on six different conceptual categories related to socio-spatial activities and personal preferences of architecture and design students. The questionnaires have been completed by 88 student subjects from Istanbul Technical University. The paper provides a descriptive analysis of the collected data from several perspectives.
keywords Socio-spatial analysis; Data mining; Digital architectural design studio
series eCAADe
full text file.pdf (1,571,749 bytes)
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100%; open Witten, IH and Frank, E (2005) Find in CUMINCAD Data Mining: Practical Machine Learning Tools and Techniques, 2nd edition , Morgan Kaufmann Publishers, San Francisco, USA

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