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Information Journal Paper

Title

MINING CUSTOMER DYNAMICS IN DESIGNING CUSTOMER SEGMENTATION USING DATA MINING TECHNIQUES

Pages

  1-30

Abstract

 One of the main problems in DYNAMIC CUSTOMER SEGMENTATION is finding the dominant patterns of customer transmission between different segments over time. Accordingly, we concentrate on the customer dynamics in this paper and try to find different groups of customers in transmission between segments overtime. The dominant characteristics of these groups are also investigated. To achieve this objective, a new hybrid technique based on the K-means algorithm, hierarchical CLUSTERING and association rule mining is presented and implemented on the data obtained from one of the main telecommunication corporations in Iran. The results show that there are seven different groups of customers. Furthermore, the impact of customer dynamics on segments' changes is investigated over time. In this regard, a new approach of categorizing customers is proposed according to their impact on the structure and the content of segments' changes. These new groups include "the customers who preserve the structure", "the ones who are consistent with the structure" and "the customers who destroy the structure".

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    Cite

    APA: Copy

    AKHONDZADEH NOUGHABI, ELHAM, ALBADVI, AMIR, & AGHDASI, MOHAMMAD. (2014). MINING CUSTOMER DYNAMICS IN DESIGNING CUSTOMER SEGMENTATION USING DATA MINING TECHNIQUES. JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, 6(1), 1-30. SID. https://sid.ir/paper/140435/en

    Vancouver: Copy

    AKHONDZADEH NOUGHABI ELHAM, ALBADVI AMIR, AGHDASI MOHAMMAD. MINING CUSTOMER DYNAMICS IN DESIGNING CUSTOMER SEGMENTATION USING DATA MINING TECHNIQUES. JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT[Internet]. 2014;6(1):1-30. Available from: https://sid.ir/paper/140435/en

    IEEE: Copy

    ELHAM AKHONDZADEH NOUGHABI, AMIR ALBADVI, and MOHAMMAD AGHDASI, “MINING CUSTOMER DYNAMICS IN DESIGNING CUSTOMER SEGMENTATION USING DATA MINING TECHNIQUES,” JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, vol. 6, no. 1, pp. 1–30, 2014, [Online]. Available: https://sid.ir/paper/140435/en

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