%0 Thesis %1 Schloer2022 %A Schlör, Daniel %D 2022 %K app_security author:schloer csf diss from:daschloer myown representation_learning research_imbalanced_data %R 10.25972/OPUS-29856 %T Detecting Anomalies in Transaction Data

@phdthesis{Schloer2022, added-at = {2023-01-27T03:12:46.000+0100}, author = {Schlör, Daniel}, biburl = {https://www.bibsonomy.org/bibtex/2910014194fc6afebd1d031e4516444c0/dmir}, doi = {10.25972/OPUS-29856}, interhash = {e59f64d0a213145e58cfa253748823da}, intrahash = {910014194fc6afebd1d031e4516444c0}, keywords = {app_security author:schloer csf diss from:daschloer myown representation_learning research_imbalanced_data}, school = {Universität Würzburg}, timestamp = {2024-04-09T14:02:06.000+0200}, title = {Detecting Anomalies in Transaction Data}, type = {Doctoral Thesis}, year = 2022 }