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An automatic machine learning based customer segmentation model with RFM analysis

Năm XB 2024 Tạp chí / Hội thảo Lecture Notes in Networks and Systems Volume 1205 LNNS Đơn vị CNTT DOI / Link https://doi.org/10.1007/978-3-031-80943-9_16 ↗

Tác giả

Xuan Tran and Thai Hoc Nguyen

Tóm tắt

Big Data analysis has played a great role in extracting valuable insights from a vast amount of data, which can help companies make better business decisions and gain significant benefits. This paper investigates a Big Data based solution which applies the K-means clustering algorithm integrated with RFM analysis in a Spark processing pipeline for customer segmentation. Spark plays as a primary tool to deploy the entire experimentation process into a pipeline for automation, reusability, scalability, and enhanced computational power and speed for large datasets. The experimental results indicate the algorithm's effectiveness in consumer segmentation with the proposed Big Data based model.

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Ghi chú

ICTA

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