Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Shamitha S Kotekani"'
Autor:
Shamitha S. Kotekani, Ilango Velchamy
Publikováno v:
Journal of computing and information technology
Volume 28
Issue 4
Journal of Computing and Information Technology, Vol 28, Iss 4, Pp 269-285 (2020)
Volume 28
Issue 4
Journal of Computing and Information Technology, Vol 28, Iss 4, Pp 269-285 (2020)
Fraud detection has received considerable attention from many academic research and industries worldwide due to its increasing popularity. Insurance datasets are enormous, with skewed distributions and high dimensionality. Skewed class distribution a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33ab78efd178a83f62284b3228ee2ad1
https://doi.org/10.20532/cit.2020.1005216
https://doi.org/10.20532/cit.2020.1005216
Publikováno v:
2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27f1383ff1086933de897440aa4e782f
https://doi.org/10.1109/icaect54875.2022.9808023
https://doi.org/10.1109/icaect54875.2022.9808023
Autor:
Shamitha S Kotekani, V Ilango
Publikováno v:
International Journal of Advanced Computer Science and Applications. 13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d769408426dbb98be5521d26c0ea4676
https://doi.org/10.14569/ijacsa.2022.0130318
https://doi.org/10.14569/ijacsa.2022.0130318
Autor:
Ilango Velchamy, Shamitha S Kotekani
Publikováno v:
International Journal of Innovative Technology and Exploring Engineering. 8:3498-3501
Health Insurance industry is producing a massive amount of heterogeneous data. Detecting fraud from these data is a challenging task. Highly imbalanced data causes huge challenge to the Insurance Data Analysis. Classification of imbalanced data is a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63321c930ddb9593988cc9134c84cdf3
https://doi.org/10.35940/ijitee.k2489.0981119
https://doi.org/10.35940/ijitee.k2489.0981119