Blockchain-enabled KYC integration for CLV optimization with robust M-Estimation and IRLS method
This research introduces an innovative approach in implementing Know Your Customer (KYC) on blockchain technology as a means of using data, hybrid robust m-estimation, and the iteratively reweighted less squares (IRLS) method to optimize CLV data. This approach aims to improve the accuracy and relia...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-06-01
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| Series: | ICT Express |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405959525000347 |
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| author | Marischa Elveny Mahyuddin K.M. Nasution Fanindia Purnamasari Tengku Siti Meriam Tengku Wook |
| author_facet | Marischa Elveny Mahyuddin K.M. Nasution Fanindia Purnamasari Tengku Siti Meriam Tengku Wook |
| author_sort | Marischa Elveny |
| collection | DOAJ |
| description | This research introduces an innovative approach in implementing Know Your Customer (KYC) on blockchain technology as a means of using data, hybrid robust m-estimation, and the iteratively reweighted less squares (IRLS) method to optimize CLV data. This approach aims to improve the accuracy and reliability of CLV predictions by ensuring the security and reliability of customer data. This tool can help companies manage and increase CLV more effectively, meeting data security and compliance standards. The R-squared validation test results are close to 1, so the model can explain data variations well. RMSE and MSE have small values, so the model has good performance in predicting the target value. With these achievements, this approach contributes to the development of better marketing strategies and business decisions in an increasingly complex and rapidly changing digital environment. |
| format | Article |
| id | doaj-art-a5422884d46a403abb3fe98e11085bb6 |
| institution | OA Journals |
| issn | 2405-9595 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | ICT Express |
| spelling | doaj-art-a5422884d46a403abb3fe98e11085bb62025-08-20T02:07:30ZengElsevierICT Express2405-95952025-06-0111340241010.1016/j.icte.2025.03.006Blockchain-enabled KYC integration for CLV optimization with robust M-Estimation and IRLS methodMarischa Elveny0Mahyuddin K.M. Nasution1Fanindia Purnamasari2Tengku Siti Meriam Tengku Wook3Fakultas Ilmu Komputer dan Teknologi Informasi, Universitas Sumatera Utara, Medan, Indonesia; Corresponding author. Peer review under responsibility of The Korean Institute of Communications and Information Sciences.Fakultas Ilmu Komputer dan Teknologi Informasi, Universitas Sumatera Utara, Medan, IndonesiaFakultas Ilmu Komputer dan Teknologi Informasi, Universitas Sumatera Utara, Medan, IndonesiaFakulti Teknologi dan Sains Maklumat, Universiti Kebangsaan Malaysia, Bangi, MalaysiaThis research introduces an innovative approach in implementing Know Your Customer (KYC) on blockchain technology as a means of using data, hybrid robust m-estimation, and the iteratively reweighted less squares (IRLS) method to optimize CLV data. This approach aims to improve the accuracy and reliability of CLV predictions by ensuring the security and reliability of customer data. This tool can help companies manage and increase CLV more effectively, meeting data security and compliance standards. The R-squared validation test results are close to 1, so the model can explain data variations well. RMSE and MSE have small values, so the model has good performance in predicting the target value. With these achievements, this approach contributes to the development of better marketing strategies and business decisions in an increasingly complex and rapidly changing digital environment.http://www.sciencedirect.com/science/article/pii/S2405959525000347BlockchainCLVIRLSKYCRobust M-Estimation |
| spellingShingle | Marischa Elveny Mahyuddin K.M. Nasution Fanindia Purnamasari Tengku Siti Meriam Tengku Wook Blockchain-enabled KYC integration for CLV optimization with robust M-Estimation and IRLS method ICT Express Blockchain CLV IRLS KYC Robust M-Estimation |
| title | Blockchain-enabled KYC integration for CLV optimization with robust M-Estimation and IRLS method |
| title_full | Blockchain-enabled KYC integration for CLV optimization with robust M-Estimation and IRLS method |
| title_fullStr | Blockchain-enabled KYC integration for CLV optimization with robust M-Estimation and IRLS method |
| title_full_unstemmed | Blockchain-enabled KYC integration for CLV optimization with robust M-Estimation and IRLS method |
| title_short | Blockchain-enabled KYC integration for CLV optimization with robust M-Estimation and IRLS method |
| title_sort | blockchain enabled kyc integration for clv optimization with robust m estimation and irls method |
| topic | Blockchain CLV IRLS KYC Robust M-Estimation |
| url | http://www.sciencedirect.com/science/article/pii/S2405959525000347 |
| work_keys_str_mv | AT marischaelveny blockchainenabledkycintegrationforclvoptimizationwithrobustmestimationandirlsmethod AT mahyuddinkmnasution blockchainenabledkycintegrationforclvoptimizationwithrobustmestimationandirlsmethod AT fanindiapurnamasari blockchainenabledkycintegrationforclvoptimizationwithrobustmestimationandirlsmethod AT tengkusitimeriamtengkuwook blockchainenabledkycintegrationforclvoptimizationwithrobustmestimationandirlsmethod |