A membrane computing approach to classify Macao visitor expenditure profile

Jinxing Hao, Wei Sun, Minhas Mahsud, Rui-Hong Sun

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Membrane computing also called P system, seeks to discover new computational models from the study of cellular membranes. In this study, we reported our initial efforts to classify Macao visitor expenditure profile using a membrane computing approach. Specifically, we designed a novel P system including specific membrane structure and membrane rules to realize an improved k-medoids clustering algorithm. We also empirically evaluated the new P system with a dataset from a large-scale visitor profile survey supported by Macao Government Tourist Office. Results reveal that the new P system is more robust to initial centers and achieves higher clustering accuracy as compared to the classical k-medoids clustering and the classical k-means method. In addition, we analyzed the demographic and behavior profile of the extracted six expenditure clusters and discussed the theoretical and practical implications of this study.
Original languageEnglish
Title of host publication2017 International Conference on Service Systems and Service Management, ICSSSM
Number of pages6
ISBN (Electronic)978-1-5090-6370-3
DOIs
Publication statusPublished (in print/issue) - Jun 2017

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