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Telecommunication customer churn prediction using machine learning methods.

, , and . IVUS, volume 3611 of CEUR Workshop Proceedings, page 92-98. CEUR-WS.org, (2022)

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Machine Learning Approaches for Customs Fraud Detection., , , and . IVUS, volume 2915 of CEUR Workshop Proceedings, page 54-63. CEUR-WS.org, (2021)Investigation on the Dependencies Between HRV, Physical Training, and Focus of Attention in Virtual Environment., , , and . ICIST, volume 1078 of Communications in Computer and Information Science, page 529-540. Springer, (2019)Autoencoder as Feature Extraction Technique for Financial Distress Classification., , and . ICIST, volume 1979 of Communications in Computer and Information Science, page 71-86. Springer, (2023)Machine learning methods for content-based music recommendation systems., and . IVUS, volume 3611 of CEUR Workshop Proceedings, page 99-105. CEUR-WS.org, (2022)A comparative study of feature selection and feature extraction methods for financial distress identification., , , , , , and . PeerJ Comput. Sci., (2024)Visual and Radar Sensor Fusion for Perimeter Protection and Homeland Security on Edge., , , and . IVUS, volume 2698 of CEUR Workshop Proceedings, page 92-105. CEUR-WS.org, (2020)Media analysis that reflects the spread of anti-Christian opinion., , and . IVUS, volume 2470 of CEUR Workshop Proceedings, page 125-129. CEUR-WS.org, (2019)Cryptocurrencies short-term forecast: application of ARIMA, GARCH and SVR models., , and . IVUS, volume 2470 of CEUR Workshop Proceedings, page 70-73. CEUR-WS.org, (2019)What's in the News? Identification of Trending Topics in Alternative and Mainstream Lithuanian Media., , , and . TWSDetection, volume 2606 of CEUR Workshop Proceedings, page 3-17. CEUR-WS.org, (2020)An overview of lithuanian internet media n-gram corpus., , , and . SYSTEM, volume 1853 of CEUR Workshop Proceedings, page 24-28. CEUR-WS.org, (2017)