Comparative Evaluation of Machine Learning Algorithms with Parameter Optimization and Feature Elimination for Fraud Detection-Reference-Cited by-同舟云学术

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Comparative Evaluation of Machine Learning Algorithms with Parameter Optimization and Feature Elimination for Fraud Detection

Published:2021-12-09 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Electrical, Computer and Energy Technologies (ICECET)
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Author:

Koc Yunus,Cetin Mustafa

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9698246/9698247/09698686.pdf?arnumber=9698686

Reference14 articles.

1. Effect of Data Scaling Methods on Machine Learning Algorithms and Model Performance

2. The Effects of Data Sampling with Deep Learning and Highly Imbalanced Big Data;justin;Information Systems Frontiers,2020

3. A Survey For Study of Feature Selection Based on Mutual Information

4. ANOVA and Cluster Distance Based Contributions for Feature Empirical Analysis to Fault Diagnosis in Rotating Machinery;peña;2017 International Conference on Sensing Diagnostics Prognostics and Control (SDPC) SDPC,2017

5. Reliable Accuracy Estimates from k-Fold Cross Validation

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