Detecting credit card fraud by Modified Fisher Discriminant Analysis
• We introduce Fisher Linear Discriminant Analysis (FLDA). • We modify it to be sensitive toward profitable instances. • We applied them together in credit card fraud detection problem. • The results are compared in terms of total obtained profit with three well-known models. • Modified fisher outpe...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Mahmoudi, Nader [verfasserIn] |
|---|
| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
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| Umfang: |
7 |
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| Übergeordnetes Werk: |
Enthalten in: Do denture processing techniques affect the mechanical properties of denture teeth? - Clements, Jody L. ELSEVIER, 2017, an international journal, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:42 ; year:2015 ; number:5 ; day:1 ; month:04 ; pages:2510-2516 ; extent:7 |
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| DOI / URN: |
10.1016/j.eswa.2014.10.037 |
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| 520 | |a • We introduce Fisher Linear Discriminant Analysis (FLDA). • We modify it to be sensitive toward profitable instances. • We applied them together in credit card fraud detection problem. • The results are compared in terms of total obtained profit with three well-known models. • Modified fisher outperforms the other models in attaining high profit. | ||
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| 650 | 7 | |a Modified Fisher Discriminant |2 Elsevier | |
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• We introduce Fisher Linear Discriminant Analysis (FLDA). • We modify it to be sensitive toward profitable instances. • We applied them together in credit card fraud detection problem. • The results are compared in terms of total obtained profit with three well-known models. • Modified fisher outperforms the other models in attaining high profit. |
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• We introduce Fisher Linear Discriminant Analysis (FLDA). • We modify it to be sensitive toward profitable instances. • We applied them together in credit card fraud detection problem. • The results are compared in terms of total obtained profit with three well-known models. • Modified fisher outperforms the other models in attaining high profit. |
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• We introduce Fisher Linear Discriminant Analysis (FLDA). • We modify it to be sensitive toward profitable instances. • We applied them together in credit card fraud detection problem. • The results are compared in terms of total obtained profit with three well-known models. • Modified fisher outperforms the other models in attaining high profit. |
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