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literatur.bib
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literatur.bib
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@article{ff_review_techniques,
author = {Hilal, Waleed and Gadsden, S. Andrew and Yawney, John},
title = {Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances},
year = {2022},
volume = {193},
journal = {Expert Syst. Appl.},
pages = {1-34},
}
@article{acfe_ff,
title={What is Fraud?},
author={\ac{ACFE}},
year={2004},
url = {https://www.acfe.com/fraud-resources/fraud-101-what-is-fraud},
urldate = {2022-12-12},
}
@article{ff_profiles,
author = {Aisha Abdallah, Mohd Aizaini Maarof, Anazida Zainal},
title = {Fraud detection system: A survey},
year = {2016},
volume = {68},
journal = {Journal of Network and Computer Applications},
pages = {90-113},
}
@article{liu2008isolation,
title={Isolation forest},
author={Liu, Fei Tony and Ting, Kai Ming and Zhou, Zhi-Hua},
journal={2008 eighth ieee international conference on data mining},
pages={413--422},
year={2008},
volume = {17},
organization={IEEE}
}
@article{fd_SOM,
author = {Dominik Olszewski},
title = {Fraud detection using self-organizing map visualizing the user profiles},
year = {2014},
volume = {70},
journal = {Knowledge-Based Systems},
pages = {324-334},
}
@article{credit_f_SOM,
title={Credit card fraud detection using self-organizing maps},
author={Zaslavsky, Vladimir and Strizhak, Anna},
journal={Information and Security},
volume={18},
pages={48-63},
year={2006},
}
@article{fd_ARIMA,
title={Anomaly and fraud detection in credit card transactions using the arima model},
author={Moschini, Giulia and Houssou, R{\'e}gis and Bovay, J{\'e}r{\^o}me and Robert-Nicoud, Stephan},
journal={Engineering Proceedings},
volume={5},
pages={56-67},
year={2021},
}
@article{cf_AE,
title={An Autoencoder Based Model for Detecting fraudulent Credit Card Transaction},
author={Misra, Sumit and Thakur, Soumyadeep and Ghosh, Manosij and Saha, Sanjoy Kumar},
journal={Procedia Computer Science},
volume={167},
pages={254-262},
year={2020}
}
@article{p_acf,
title={Partial Autoinformation to Characterize Symbolic Sequences},
author={Frederic von Wegner},
journal={frontiers in Physiology},
volume={9},
pages={1-14},
year={2018}
}
@article{AE_RF,
title={Credit card fraud detection with autoencoder and probabilistic random forest},
author={Lin, Tzu-Hsuan and Jiang, Jehn-Ruey},
journal={Mathematics},
volume={9},
pages={2683-2699},
year={2021},
}
@article{Vectron,
title={Fiskaljournal Datenexport, Deutschland},
journal={VECTRON},
volume={1.3.0},
url = {https://docplayer.org/162374205-1-hinweise-exportformat-3.html},
year={2018},
urldate = {2023-01-18},
}
@article{P_ACF,
title={Interpreting ACF and PACF Plots for Time Series Forecasting},
journal={Towards Data Science},
author={Leonie Monigatti},
url = {https://towardsdatascience.com/interpreting-acf-and-pacf-plots-for-time-series-forecasting-af0d6db4061c},
year={2022},
urldate = {2023-01-26},
}
@book{gruhl2022,
title={Novelty Detection for Multivariate Data Streams with Probabilistic Models},
author={Gruhl, Christian},
year={2022},
publisher={BoD--Books on Demand}
}
% supervised
@article{sahin2010detecting,
title={Detecting credit card fraud by decision trees and support vector machines},
author={Sahin, Yusuf and Duman, Ekrem},
journal={World Congress on Engineering 2012. London, UK.},
volume={2188},
pages={442--447},
year={2012},
}
% kaggle
@article{kaggle_ex,
title={Credit Card Fraud Detection},
journal={kaggle},
author={Machine Learning Group},
url = {https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud},
year={2017},
urldate = {2023-01-25},
}