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Data Mining by Using Rule of Space Syntax Theory | ||
| Journal of Education and Science | ||
| Article 13, Volume 28, Issue 4, 2019, Pages 176-188 PDF (309.88 K) | ||
| DOI: 10.33899/edusj.1970.163334 | ||
| Author | ||
| Shahla H.A. Kharofa | ||
| Abstract | ||
| 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. | ||
| Keywords | ||
| Data Mining; Spaces syntax theory; Sequential analysis | ||
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