Title :
Data Mining of Geographical Accessibility for Tourism in Regional Area
Author :
Okuhara, Koji ; Yeh, Kuang-Yih ; Hsia, Hao-Ching ; Ishii, Hiroaki
Author_Institution :
Grad. Sch. of Inf. Sci. & Technol., Osaka Univ., Suita
Abstract :
Based on an entropy maximization principle both the spatial interaction model and the discrete choice model are discussed first to clarify the meaning of the accessibility and the utility function. We next introduce a mixture of expert that is one kind of probabilistic neural network and define the preference function in the MoE. The presented model can be consider a merged one of the spatial interaction model and the discrete choice model, so the relations among the utility, preference and accessibility can be shown in a unified way. Goal is to show availability of application of those properties to data mining of geographical accessibility for tourism in regional area.
Keywords :
data mining; humanities; maximum entropy methods; neural nets; travel industry; MoE; data mining; discrete choice model; entropy maximization principle; mixture of expert; probabilistic neural network; spatial interaction model; tourism geographical accessibility; utility function; Attenuation; Cities and towns; Data mining; Entropy; Gravity; Information science; Intelligent systems; Neural networks; Space technology; Urban planning;
Conference_Titel :
Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-0-7695-3382-7
DOI :
10.1109/ISDA.2008.315
