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A knowledge discovery approach to urban analysis

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A knowledge discovery approach to urban analysis

Beyoglu Preservation Area as a data mine

Authored by Ahu Sokmenoglu Sohtorik

The overall aim of this issue of A+BE is the development of a knowledge discovery approach to urban analysis; a domain-specific adaptation of the generic process of knowledge discovery using data mining enabling the analyst to discover 'relational urban knowledge'. 'Relational urban knowledge' is a term employed in this thesis to refer to the potentially 'useful' and/or 'valuable' information patterns and relationships that can be discovered in urban databases by applying data mining algorithms. A knowledge discovery approach to urban analysis through data mining can help us to understand site-specific characteristics of urban environments in a more profound and useful way.
On a more specific level, the thesis aims towards 'knowledge discovery' in traditional thematic maps published in 2008 by the Istanbul Metropolitan Municipality as a basis of the Master Plan for the Beyoglu Preservation Area.

Publication Date:
9461866526 / 9789461866523
Page Count:
Binding Type:
US Trade Paper
Trim Size:
7.44" x 9.69"
Full Color
Related Categories:
Architecture / Methods & Materials

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