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Repository consisting of code and data used for a master thesis to detect fraudulent annual reports in US-XBRL-Annual-Reports

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ChrisDS20/MasterThesis_ESEF_FraudDetection

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AllData.xlsx

AllData.xlsx

 
 

GAAP_taxonomy_2022_bearbeitet.xlsx

GAAP_taxonomy_2022_bearbeitet.xlsx

 
 

Parsing_XML_SEC_Funktion_Datenimport_ZF_Anhang.ipynb

Parsing_XML_SEC_Funktion_Datenimport_ZF_Anhang.ipynb

 
 

Parsing_XML_SEC_Funktion_Extension_Identifier_Anhang.ipynb

Parsing_XML_SEC_Funktion_Extension_Identifier_Anhang.ipynb

 
 

R_Conclusio_PCA.R

R_Conclusio_PCA.R

 
 

R_Datenaufbereitung_Exploration.R

R_Datenaufbereitung_Exploration.R

 
 

R_Feature_Selection.R

R_Feature_Selection.R

 
 

R_KNN.R

R_KNN.R

 
 

R_Logistische_Regression.R

R_Logistische_Regression.R

 
 

R_Random_Forest.R

R_Random_Forest.R

 
 

R_Support_Vector_Machines.R

R_Support_Vector_Machines.R

 
 

SMOTE_Grafikbeispiel.R

SMOTE_Grafikbeispiel.R

 
 

cost_benefit_ratio_calculated.xlsx

cost_benefit_ratio_calculated.xlsx

 
 

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Repository consisting of code and data used for a master thesis to detect fraudulent annual reports in US-XBRL-Annual-Reports

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parsing xbrl fraud-detection annual-reports us-gaap
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