A membrane computing approach to classify Macao visitor expenditure profile

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 inclu...

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Bibliographic Details
Main Authors: Jinxing Hao, Wei Sun, Mahsud, Minhas, Rui-Hong Sun
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Biological system modeling
Classification algorithms
Clustering algorithms
Computational modeling
expenditure analysis
Government
improved k-medoids algorithm
Marketing strategy
Membrane computing
Robustness
visitor profiling
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Summary: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.
ISSN:2161-1904
DOI:10.1109/ICSSSM.2017.7996296