A Two Tiered Finite Mixture Modelling Framework to Cluster Customers on EFTPOS Network

Author:

Jin Yuan,Rumantir Grace

Publisher

Springer International Publishing

Reference18 articles.

1. EFTPOSAustralia. http://www.eftposaustralia.com.au/wp-content/uploads/2015/01/eftpos-2014-annual-report.pdf

2. Bizhani, M., Tarokh, M.J.: Behavioural rules of bank’s point-of-sale for segments description and scoring prediction. Int. J. Ind. Eng. Comput. 2(2), 337–350 (2011)

3. Singh, A., Rumantir, G., South, A.: Market segmentation of EFTPOS retailers. In: Nayak, R., Li, X., Liu, L., Ong, K.-L., Zhao, Y., Kennedy, P. (eds.) Proceedings of the Twelfth Australasian Data Mining Conference, Brisbane, Conferences in Research and Practice in Information Technology, vol. 158 (2014)

4. Singh, A., Rumantir, G., South, A., Bethwaite, B.: Clustering experiments on big transactional data for market segmentation. In: Proceedings of the Third ASE International Conference on Big Data Science and Computing, Beijing. ACM (2014). http://dx.doi.org/10.1145/2640087.2644161 . 978-1-4503-2891-3/14/08

5. Singh, A., Rumantir, G., South, A.: Two-tiered clustering classification experiments for market segmentation of EFTPOS retailers. Australas. J. Inf. Syst. Spec. Issue Bus. Analytics (accepted, 2015)

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