Application of adaptive neurofuzzy control in the field of credit insurance

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Machine learning applications for accounting disclosure and fraud detection
1. Verfasser: Ainatzoglou, Konstantina K. (VerfasserIn)
Weitere Verfasser: Tairidis, Georgios K. (VerfasserIn), Staurulakēs, Geōrgios E. (VerfasserIn), Zopounidis, Constantin K. (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2021
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Application of adaptive neurofuzzy control in the field of credit insurance 2021 Ainatzoglou, Konstantina K.
A study on various applications of data mining and supervised learning techniques in business fraud detection 2021 Majumder, Amit
Operational risk framework and fraud management : a contemporary approach 2021 Tsitsiridi, Elpida
Impact of corporate fraud on foreign direct investment? : evidence from China 2021 Alkebsee, Radwan
Current trends in investment analysis 2021 Kouskoukis, Marios Nikolaos
Detection and prevention of fraud in the digital era 2021 Altuk, Evrim Vildan
Downside risk premium : a comparative analysis 2021 Toudas, Kanellos Stylianou
Corporate sector fraud : challenges and safety 2021 Maurya, Jay Prakash
Prediction of corporate failures for small and medium-sized enterprises in europe : a comparison of statistical and machine learning approaches 2021 Eskantar, Marianna
Theoretical analysis of creative accounting : fraud in financial statements 2021 Chimonaki, Christianna
Fraud governance and good practices against 2021 Zairis, Fraud Antonios
Machine learning techniques and risk management : application to the banking sector during crisis 2021 Floros, Christos
Corporate governance as a tool for fraud mitigation 2021 Maravelaki, Antonia
Outsourcing of Internal audit services instead of traditional internal audit units : a literature review on transition from in-house to outsourcing 2021 Acar Uğurlu, Yasemin
Corporate governance : introduction, roles, codes of corporate governance 2021 Menexiadis, Marios Eugene
Alle Artikel auflisten