Credit Card Fraud Detection Using New Preprocessing And Hybrid Machine Learning Techniques
One of the significant problems in the credit card fraud domain is the increasing number of imbalanced data. The higher ratio of majority to minority classes can lead to misleading results, as conventional machine learning algorithms assume equal class distribution. The first contribution of this re...
| المؤلف الرئيسي: | Gasim, Esraa Faisal Malik |
|---|---|
| التنسيق: | أطروحة |
| اللغة: | الإنجليزية |
| منشور في: |
2023
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | http://eprints.usm.my/60174/ |
مواد مشابهة
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مواد مشابهة
-
Divergence Of Opinion, Representative Heuristics, Disposition Effect And Noise Trading In The Malaysian New Listings Market [HG4028.S7 C548 2007 f rb].
حسب: Chong, Fen Nee
منشور في: (2008) -
Detecting Bursa Malaysia’s
Long-Term Dependence Of Returns Using
Rescaled Range Analysis: (1982-2001)
حسب: Ooi, Kok Hwa
منشور في: (2006) -
Study On The Level Of Corporate Social Disclosure Practices In Malaysia.
[HG4244.66. S531 2004 f rb] [Microfiche 7627]
حسب: Manasseh, Sharon
منشور في: (2004) -
the Role and influence of corporate leader values on corporate governance mechanisms and financial reporting quality
حسب: Wan Abdullah, Wan Zalani @ Wan Zanani
منشور في: (2016) -
The use of ESOS as interest alignment mechanism in Malaysia : a mismatched of a problem and solutions
[HG4028.S7 Z19 2008 f rb].
حسب: Ghazali, Zahiruddin
منشور في: (2008)