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pro vyhledávání: '"Nadia Jamaluddin Nurul"'
Autor:
Ng Jia Yee Alvina, Awasthi Vibhudutta, Sasidharan Aswathi, Khan Abdullah, Xin Ho, Yari Hooman, Gali Hariprasad, Saquib Hasnain M., Moussian Bernard, Choudhury Hira, Tahir Ansari Mohammed, De Franciscis Pasquale, Pandey Manisha, Kumar Mahendra, Schiattarella Antonio, Joo Lee Ng, Salfi Roshan, Rao Pichika Mallikarjuna, E. Isakson Brant, T. Job Joice, Anissa Ramlan Thiya, Conte Anna, Gorain Bapi, Pandey Arvind, Cobellis Luigi, Gao Lujuan, Cairul Iqbal Mohd Amin Mohd, Shukla Shipra, Pei Wen Lee, Majeed Shahnaz, Sami Farheen, K. Samaiya Puneet, A. Luse Melissa, Riemma Gaetano, M. Heiston Emily, Wang Yiwen, Kumar Mohbey Krishna, Colacurci Nicola, Kumar Swain Prafulla, Narayanankutty Arunaksharan, Nadia Jamaluddin Nurul, Zamri Nurshahiera, K. Malin Steven, Kah Cien Ling
Publikováno v:
Recent Advances in Computer Science and Communications. 14:2785-2799
Background: Large financial companies are perpetually creating and updating customer scoring techniques. From a risk management view, this research for the predictive accuracy of probability is of vital importance than the traditional binary result o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d32d2c3680bee34c6655336b6d0977e
https://doi.org/10.2174/2666255813999200721004720
https://doi.org/10.2174/2666255813999200721004720
