DocumentCode :
2550606
Title :
Applying graph mining to discover substructures of room layouts which affect the rent of apartments
Author :
Takizawa, Atsushi ; Yoshida, Kazuma ; Katoh, Naoki
Author_Institution :
Kyoto Univ., Kyoto
fYear :
2007
fDate :
7-10 Oct. 2007
Firstpage :
3512
Lastpage :
3518
Abstract :
In this paper we will investigate the relationship between room layout and the rent of apartments by extracting meaningful substructures of a graph representing the room layout using a graph mining algorithm. We will then construct a prediction model for the rent of apartments with high accuracy. Through our analysis, we will reveal certain typical substructures in the room layout which strongly affect the rent.
Keywords :
graph theory; real estate data processing; rental; apartment rentals; graph mining; room layout substructure discovery; Appraisal; Buildings; Chemical analysis; Cities and towns; Data mining; Image databases; Predictive models; Statistical analysis; Topology; Web pages;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-0990-7
Electronic_ISBN :
978-1-4244-0991-4
Type :
conf
DOI :
10.1109/ICSMC.2007.4414219
Filename :
4414219
Link To Document :
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