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Applying Basket Analysis and RFM Tool to Analyze of Customer Logs

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Information Systems Architecture and Technology: Proceedings of 39th International Conference on Information Systems Architecture and Technology – ISAT 2018 (ISAT 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 852))

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Abstract

In this paper a customer business analysis using data mining tools and marketing performance index will be presented. Mechanisms based on machine learning principles will be described and discussed. Customer logs will be analyzed using two different tools and compared for decision making process.

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Author information

Authors and Affiliations

  1. University of Science and Technology, Wyb. Wyspiańskiego 27, 50-370, Wrocław, Poland

    Jolanta Wrzuszczak-Noga

Authors
  1. Jolanta Wrzuszczak-Noga
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Correspondence to Jolanta Wrzuszczak-Noga .

Editor information

Editors and Affiliations

  1. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Leszek Borzemski

  2. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Jerzy Świątek

  3. University of Applied Sciences in Nysa, Nysa, Poland

    Zofia Wilimowska

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Wrzuszczak-Noga, J. (2019). Applying Basket Analysis and RFM Tool to Analyze of Customer Logs. In: Borzemski, L., Świątek, J., Wilimowska, Z. (eds) Information Systems Architecture and Technology: Proceedings of 39th International Conference on Information Systems Architecture and Technology – ISAT 2018. ISAT 2018. Advances in Intelligent Systems and Computing, vol 852. Springer, Cham. https://doi.org/10.1007/978-3-319-99981-4_24

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