Customer Classification using Learning Vector Quantization Neural Network

Authors

  • Ari Basuki Industrial Engineering Dept., University of Trunojoyo Madura, Indonesia

Keywords:

Customer Classification, Customer Relationship Management (CRM), Learning Vector Quantization (LVQ), Neural Network (NN).

Abstract

The application of customer relationship for Small-Medium Sized Enterprise (SME) is still at the developmental stage. Knowledge obtained from Customer Relationship Management (CRM) can help SMEs to estimate the profitability of individual accounts. This paper presents a prediction model to identify the customers who are likely to purchase the offered product of a company based on their past purchasing history. Experiments using Learning Vector Quantization Neural Network were conducted to classify the potential customers into the purchasing and non-purchasing categories. The results of experiments reveal that the best parameter to model customer classification using this data set has high accuracy.

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Published

2016-08-01

How to Cite

Basuki, A. (2016). Customer Classification using Learning Vector Quantization Neural Network. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 8(5), 131–135. Retrieved from https://jtec.utem.edu.my/jtec/article/view/884

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Section

Articles