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Pregled bibliografske jedinice broj: 1258880

Churn prediction methods based on mutual customer interdependence


Ljubičić, Karmela; Merćep, Andro; Kostanjčar, Zvonko
Churn prediction methods based on mutual customer interdependence // Journal of Computational Science, 67 (2023), 101940, 10 doi:10.1016/j.jocs.2022.101940 Izvorni jezik rada (na kojem je rad napisan): (međunarodna recenzija, članak, znanstveni)


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Naslov
Churn prediction methods based on mutual customer interdependence

Autori
Ljubičić, Karmela ; Merćep, Andro ; Kostanjčar, Zvonko

Izvornik
Journal of Computational Science (1877-7503) 67 (2023); 101940, 10

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Churn prediction ; Machine learning ; Node representation learning ; Graph neural network

Sažetak
Most widespread churn prediction models assume customer independence, ignoring the well-documented propagation of churn influence in a customer network. Although this customer interdependence can be modelled by social network analysis and shallow node representation learning algorithms, these methods are too inefficient and impractical for use in large corporate systems. An efficient solution that incorporates both customer features and interconnections is a graph neural network ; however, its potential for churn prediction is still understudied. This paper provides an overview of the existing approaches and outlines the properties of graph neural networks that make them a promising end-to-end solution.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekti:
HRZZ-IP-2019-04-5241 - Algoritmi dubokog podržanog učenja za upravljanje rizicima (DREAM) (Kostanjčar, Zvonko, HRZZ ) ( CroRIS)
KK.01.1.1.01.0009 - Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima (EK )

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Zvonko Kostanjčar (autor)

Avatar Url Andro Merćep (autor)

Avatar Url Karmela Šarlija (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Ljubičić, Karmela; Merćep, Andro; Kostanjčar, Zvonko
Churn prediction methods based on mutual customer interdependence // Journal of Computational Science, 67 (2023), 101940, 10 doi:10.1016/j.jocs.2022.101940 Izvorni jezik rada (na kojem je rad napisan): (međunarodna recenzija, članak, znanstveni)
Ljubičić, K., Merćep, A. & Kostanjčar, Z. (2023) Churn prediction methods based on mutual customer interdependence. Journal of Computational Science, 67, 101940, 10 doi:10.1016/j.jocs.2022.101940 Izvorni jezik rada (na kojem je rad napisan):.
@article{article, author = {Ljubi\v{c}i\'{c}, Karmela and Mer\'{c}ep, Andro and Kostanj\v{c}ar, Zvonko}, year = {2023}, pages = {10}, DOI = {10.1016/j.jocs.2022.101940 Izvorni jezik rada (na kojem je rad napisan):}, chapter = {101940}, keywords = {Churn prediction, Machine learning, Node representation learning, Graph neural network}, journal = {Journal of Computational Science}, doi = {10.1016/j.jocs.2022.101940 Izvorni jezik rada (na kojem je rad napisan):}, volume = {67}, issn = {1877-7503}, title = {Churn prediction methods based on mutual customer interdependence}, keyword = {Churn prediction, Machine learning, Node representation learning, Graph neural network}, chapternumber = {101940} }
@article{article, author = {Ljubi\v{c}i\'{c}, Karmela and Mer\'{c}ep, Andro and Kostanj\v{c}ar, Zvonko}, year = {2023}, pages = {10}, DOI = {10.1016/j.jocs.2022.101940 Izvorni jezik rada (na kojem je rad napisan):}, chapter = {101940}, keywords = {Churn prediction, Machine learning, Node representation learning, Graph neural network}, journal = {Journal of Computational Science}, doi = {10.1016/j.jocs.2022.101940 Izvorni jezik rada (na kojem je rad napisan):}, volume = {67}, issn = {1877-7503}, title = {Churn prediction methods based on mutual customer interdependence}, keyword = {Churn prediction, Machine learning, Node representation learning, Graph neural network}, chapternumber = {101940} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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