Data Mining by Using Rule of Space Syntax Theory
Author(s) -
Shahla Hazim Ahmed Kharofa
Publication year - 2019
Publication title -
mağallaẗ al-tarbiyaẗ wa-al-ʻilm
Language(s) - English
Resource type - Journals
eISSN - 2664-2530
pISSN - 1812-125X
DOI - 10.33899/edusj.1970.163334
Subject(s) - syntax , computer science , kernel (algebra) , space (punctuation) , data mining , space syntax , matlab , theoretical computer science , artificial intelligence , mathematics , programming language , pure mathematics , operating system
Data mining is the technique, methods and means of extracting information from data and exploiting it to solve problems and make appropriate decisions using computer applications, which is a smart modern technology. In this research, data mining and spaces syntax theory were used, a program was carried out to determine the structural importance of the spaces to determine the degree of their objective importance and comprehensiveness at the level of the system as a whole, school of two floors was selected and used for analyzing. Matlab language was used to perform the analysis. Through applying the program, integration kernel showed the most integrated spaces locations which have the lowest degrees Real Relative Asymmetry while the isolation kernel has showed the lowest integrated spaces which have the highest degrees Real Relative Asymmetry. The results were compatible with the logical locations which hypothesizes the space system integration geometrically.
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