Boosting Ant Colony Optimization with Reptile Search Algorithm for Churn Prediction
Boosting Ant Colony Optimization with Reptile Search Algorithm for Churn Prediction
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
The telecommunications industry is greatly concerned about customer churn due to dissatisfaction with service. This industry has started investing in the development of machine learning (ML) models for churn prediction to extract, examine and visualize their customers’ historical information from a vast amount of big data which will assist to furth...
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Full title
Boosting Ant Colony Optimization with Reptile Search Algorithm for Churn Prediction
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TN_cdi_doaj_primary_oai_doaj_org_article_7ec6756907f046539b4abd8d7b86d3e5
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7ec6756907f046539b4abd8d7b86d3e5
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ISSN
2227-7390
E-ISSN
2227-7390
DOI
10.3390/math10071031
