A Method for Dynamic Segmentation of Customer Base in an Adaptive Business Intelligence System

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Ghanbaripanah g.; NAZEMI E.; RAJAEE HARANDI SAEEDEH

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Journal Paper

Paper Information

Journal: TABRIZ JOURNAL OF ELECTRICAL ENGINEERING Year:2019 | Volume:49 | Issue:3 (89) Page(s): 1259-1271

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Information Journal Paper

Title

A Method for Dynamic Segmentation of Customer Base in an Adaptive Business Intelligence System

Author(s)

Ghanbaripanah g. | NAZEMI E. | RAJAEE HARANDI SAEEDEH | Issue Writer Certificate

Keywords

Business Intelligence (BI)Q1

Adaptive Business IntelligenceQ1

Decision MakingQ1

Self-adaptivityQ1

Data MiningQ1

Abstract

The core of every intelligent system is its ability to adapt to environmental changes, but there is not enough attention to the compatibility issue in these systems. Hence, the aim of this study is to provide a method in Adaptive Business Intelligence system that dynamically segment customers and update this segmentation by monitoring purchasing behavior and analysis of "Recency", "Frequency" and "Monetary" of each one of them. In this research, Data Mining techniques have been applied on the adaptive modulus of the Adaptive Business Intelligence system so that the current clients of the organization are classified and over time and with learning from the environment, this classification is improved to provide customized services to customers. This method can modify initial clustering with respect to environmental changes in less than 0. 5 seconds and reduce the number of execution of conventional clustering algorithms (Approximately 22% of cases). The proposed method, considering different customer segments, their current RFM values and changes made by repeating purchases at these values, provides a better and more comprehensive clustering of the organization's customers that can be useful in improving the performance of an adaptive business intelligent system.

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APA: Copy

Ghanbaripanah, g., NAZEMI, E., & RAJAEE HARANDI, SAEEDEH. (2019). A Method for Dynamic Segmentation of Customer Base in an Adaptive Business Intelligence System. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, 49(3 (89) ), 1259-1271. SID. https://sid.ir/paper/256507/en

Vancouver: Copy

Ghanbaripanah g., NAZEMI E., RAJAEE HARANDI SAEEDEH. A Method for Dynamic Segmentation of Customer Base in an Adaptive Business Intelligence System. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2019;49(3 (89) ):1259-1271. Available from: https://sid.ir/paper/256507/en

IEEE: Copy

g. Ghanbaripanah, E. NAZEMI, and SAEEDEH RAJAEE HARANDI, “A Method for Dynamic Segmentation of Customer Base in an Adaptive Business Intelligence System,” TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, vol. 49, no. 3 (89) , pp. 1259–1271, 2019, [Online]. Available: https://sid.ir/paper/256507/en

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