Customer Mobile Behavioral Segmentation and Analysis in Telecom Using Machine Learning-Reference-Cited by-同舟云学术

Customer Mobile Behavioral Segmentation and Analysis in Telecom Using Machine Learning

Published:2022-01-05 Issue:1 Volume:36 Page:
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Sharaf Addin Eman Hussein¹^ORCID,Admodisastro Novia¹^ORCID,Mohd Ashri Siti Nur Syahirah¹^ORCID,Kamaruddin Azrina¹^ORCID,Chong Yew Chew²^ORCID

Affiliation:

1. Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Serdang, Malaysia

2. Data Science and Customer Value Management, UMobile Sdn Bhd, Malaysia

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2021.2009223

Reference25 articles.

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2. RFM model for customer purchase behavior using K-Means algorithm

3. Bhardwaj, A. (2020). Silhouette coefficient - towards data science. Medium. https://towardsdatascience.com/silhouette-coefficient-validating-clustering-techniques-e976bb81d10c

4. Briganty, C. (2019). How telecommunications operators can increase customer satisfaction. Retrieved November 22, 2020, from https://www.intraway.com/blog/white-paper/Telecommunications-Customer-Satisfaction

5. RFM ranking – An effective approach to customer segmentation

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