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Clustering Supermarket Customers Using Rough Set Based Kohonen Networks

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Foundations of Intelligent Systems (ISMIS 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2871))

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Abstract

This paper describes the creation of intervals of clusters of supermarket customers based on the modified Kohonen self-organizing maps. The supermarket customers from three different markets serviced by a Canadian national supermarket chain were clustered based on their spending and visit patterns. The resulting rough set based clustering captured the similarities and differences between the characteristics of the three regions.

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References

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© 2003 Springer-Verlag Berlin Heidelberg

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Lingras, P., Hogo, M., Snorek, M., Leonard, B. (2003). Clustering Supermarket Customers Using Rough Set Based Kohonen Networks. In: Zhong, N., Raś, Z.W., Tsumoto, S., Suzuki, E. (eds) Foundations of Intelligent Systems. ISMIS 2003. Lecture Notes in Computer Science(), vol 2871. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39592-8_23

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  • DOI: https://doi.org/10.1007/978-3-540-39592-8_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20256-1

  • Online ISBN: 978-3-540-39592-8

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