| 000 | 01282nam a22002537a 4500 | ||
|---|---|---|---|
| 003 | NULRC | ||
| 005 | 20250730115704.0 | ||
| 008 | 250730b ph ||||| |||| 00| 0 eng d | ||
| 040 | _cNULRC | ||
| 050 | _aUGT COE BSCpE .B87 2021 | ||
| 100 |
_aBustonera, Johnaaron R. _eco-author |
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| 245 |
_aMobile money transaction fraud detection using machine learning algorithms / _cJohnaaron R. Bustonera [and three others]. |
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| 260 |
_aManila : _bNational University, _c2021. |
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| 300 |
_a118 leaves : _bcolor illustrations ; _c28 cm. |
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| 504 | _aIncludes bibliographical references. | ||
| 505 | _aChapter 1. The Problem and its background -- Chapter 2. Literature Review and Framework of the Projec 3. Project Design and Methodology -- Chapter 4. Results and Discussions -- Chapter 5. Summary, Conclusion and Recommendation -- References. | ||
| 520 | _aThe detection of fraudulent behaviors in mobile money transfers is explored and contrasted using three modern machine learning models: Light Gradient Boost, Random Forests and XGBoost. | ||
| 690 | _aMONEY TRANSFER | ||
| 690 | _aMOBILE MONEY TRANSACTION | ||
| 700 |
_aCapal, Gerome V. _eco-author |
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| 700 |
_aMolina, Vhinny Angelyque V. _eco-author |
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| 700 |
_aPaller, Joshua A. _eco-author |
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| 942 |
_2lcc _cTHESIS _n0 |
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| 999 |
_c25458 _d25458 |
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