ABSTRACT
Department of Architecture and Architectural Engineering, Kyoto University
24.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 337 24.2 Street Crime Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 337
24.2.1 Studied Area and Databases . . . . . . . . . . . . . . . . . . . . . . . . . . . . 338 24.2.2 Attributes on Visibility . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 339 24.2.3 Preparation of the Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . 341 24.2.4 Result . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 341
24.3 Prediction of Apartment Rental Price . . . . . . . . . . . . . . . . . . . . . . . . . . . 344 24.3.1 Background and Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 344 24.3.2 Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 344 24.3.3 Extracting Frequent Subgraphs . . . . . . . . . . . . . . . . . . . . . . . . . 347 24.3.4 Discovering Primary Subgraphs by Emerging Patterns . 348 24.3.5 Rent Price Prediction Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . 349
This chapters presents two applications of emerging patterns (EPs). The first is an analysis of crime occurrences [387] and the second is a prediction of apartment rental price [390]. For each application, we will explain details of data used, how EPs are extracted, and how the EPs help to obtain accurate prediction models.
