Applying graph mining to discover substructures of room layouts which affect the rent of apartments

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.