Feature Weighting using Gravitational Search Algorithm in Customer Churn Prediction-Reference-Cited by-同舟云学术

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Feature Weighting using Gravitational Search Algorithm in Customer Churn Prediction

Published:2024-04-12 Issue: Volume: Page:1-5
ISSN:
Container-title:International Conference on Computing, Machine Learning and Data Science
language:
Short-container-title:

Author:

Hendro Hendro¹^ORCID,Shiddiqi Ary Mazharuddin²^ORCID,Saikhu Ahmad³^ORCID

Affiliation:

1. Institut Teknologi Sepuluh Nopember, Indonesia and Universitas Widya Dharma Pontianak, Indonesia

2. Net-Centric Computing, Institut Teknologi Sepuluh Nopember, Indonesia

3. Modelling and Applied Computing, Institut Teknologi Sepuluh Nopember, Indonesia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3661725.3661787

Reference23 articles.

1. Metaheuristic Algorithms on Feature Selection: A Survey of One Decade of Research (2009-2019)

2. Customer churn prediction in telecom using machine learning in big data platform

3. Boosting Ant Colony Optimization with Reptile Search Algorithm for Churn Prediction

4. Particle Swarm Optimization-Based Feature Weighting for Improving Intelligent Phishing Website Detection

5. Comparing Oversampling Techniques to Handle the Class Imbalance Problem: A Customer Churn Prediction Case Study

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