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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 recom...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cae10d15f9aa40aebab87aec77a7685e

An autonomous mixed data oversampling method for AIOT-based churn recognition and personalized recommendations using behavioral segmentation

About this item

Full title

An autonomous mixed data oversampling method for AIOT-based churn recognition and personalized recommendations using behavioral segmentation

Publisher

United States: PeerJ. Ltd

Journal title

PeerJ. Computer science, 2024-01, Vol.10, p.e1756-e1756, Article e1756

Language

English

Formats

Publication information

Publisher

United States: PeerJ. Ltd

More information

Scope and Contents

Contents

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...

Alternative Titles

Full title

An autonomous mixed data oversampling method for AIOT-based churn recognition and personalized recommendations using behavioral segmentation

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_cae10d15f9aa40aebab87aec77a7685e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cae10d15f9aa40aebab87aec77a7685e

Other Identifiers

ISSN

2376-5992

E-ISSN

2376-5992

DOI

10.7717/peerj-cs.1756

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