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Háskólinn í Reykjavík > Tæknisvið / School of Technology > BSc Tölvunarfræðideild / Department of Computer Science >

Vinsamlegast notið þetta auðkenni þegar þið vitnið til verksins eða tengið í það: http://hdl.handle.net/1946/34915

Titill: 
  • Titill er á ensku A replication of a cost-sensitive decision tree approach for fraud detection
Námsstig: 
  • Bakkalár
Leiðbeinandi: 
Útdráttur: 
  • Útdráttur er á ensku

    Payment card fraud poses a problem with widespread implications. However, the class imbalance between genuine and fraudulent transactions presents a challenge to traditional learning methods. Cost-based methods address this problem by assigning different costs to the misclassification of each class. Sahin et al. [7] define a cost-sensitive decision tree algorithm, and this study attempts to both replicate and build on their findings. The results presented here do not support the hypothesis that the cost-sensitive algorithm provides an improvement over traditional decision tree algorithms. However, the results do suggest that different methods of prioritizing alerted transactions can lead to performance improvements over some measures.

Samþykkt: 
  • 21.1.2020
URI: 
  • http://hdl.handle.net/1946/34915


Skrár
Skráarnafn Stærð AðgangurLýsingSkráartegund 
H4_final_report_submission.pdf328.33 kBOpinnHeildartextiPDFSkoða/Opna
beidni_um_lokun.png4.15 MBOpinnBeiðni um lokunPNGSkoða/Opna