An autonomous mixed data oversampling method for AIOT-based churn recognition and personalized recom...
An autonomous mixed data oversampling method for AIOT-based churn recognition and personalized recommendations using behavioral segmentation
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United States: PeerJ. Ltd
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Language
English
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United States: PeerJ. Ltd
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The telecom sector is currently undergoing a digital transformation by integrating artificial intelligence (AI) and Internet of Things (IoT) technologies. Customer retention in this context relies on the application of autonomous AI methods for analyzing IoT device data patterns in relation to the offered service packages. One significant challenge...
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An autonomous mixed data oversampling method for AIOT-based churn recognition and personalized recommendations using behavioral segmentation
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TN_cdi_doaj_primary_oai_doaj_org_article_cae10d15f9aa40aebab87aec77a7685e
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cae10d15f9aa40aebab87aec77a7685e
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ISSN
2376-5992
E-ISSN
2376-5992
DOI
10.7717/peerj-cs.1756