Narrow search
Showing 1 - 10 of 639
Cover Image
Application and use of Big Data and Artificial Intelligence (AI) in fraud detection and avoidance
Halbouni, Sawsan Saadi - In: Emerging human and techno-human business management …, (pp. 251-275). 2020
Persistent link: https://www.econbiz.de/10012522249
Cover Image
Review on Credit Card Fraud Detection using Data Mining Classification Techniques & Machine Learning Algorithms
Goyal, Rahul - 2020
widely applied in credit card fraud detection (CCFD). In this survey paper we show an indication of various widely available … DM & MLT for detecting credit card fraud …
Persistent link: https://www.econbiz.de/10012825175
Cover Image
Using machine learning to detect misstatements
Bertomeu, Jeremy; Cheynel, Edwige; Floyd, Eric; Pan, … - In: Review of accounting studies 26 (2021) 2, pp. 468-519
Persistent link: https://www.econbiz.de/10012548986
Cover Image
A study on various applications of data mining and supervised learning techniques in business fraud detection
Majumder, Amit; Nath, Ira - In: Machine learning applications for accounting disclosure …, (pp. 108-125). 2021
Persistent link: https://www.econbiz.de/10012515391
Cover Image
Approaches for identifying U.S. medicare fraud in provider claims data
Herland, Matthew; Bauder, Richard A.; Khoshgoftaar, Taghi M. - In: Health care management science : a new journal serving … 23 (2020) 1, pp. 2-19
Persistent link: https://www.econbiz.de/10012225271
Cover Image
Identifying and profiling key sellers in cyber carding community : AZSecure text mining system
Li, Weifeng; Chen, Hsinchun; Nunamaker, Jay F. - In: Journal of management information systems : JMIS 33 (2016) 4, pp. 1059-1086
Persistent link: https://www.econbiz.de/10011664638
Cover Image
Online payment fraud : from anomaly detection to risk management
Vanini, Paolo; Rossi, Sebastiano; Zvizdic, Ermin; … - In: Financial innovation : FIN 9 (2023) 1, pp. 1-25
Online banking fraud occurs whenever a criminal can seize accounts and transfer funds from an individual's online bank … false alarms. This is a challenge for machine learning owing to the extremely imbalanced data and complexity of fraud. In … addition, classical machine learning methods must be extended, minimizing expected financial losses. Finally, fraud can only be …
Persistent link: https://www.econbiz.de/10014289065
Cover Image
The intelligent enterprise in the era of big data
Srinivasan, Venkat - 2017
An innovative guide to the organization and function of enterprises in the technological age In the era of big data and automation, this book presents a cutting-edge approach in how enterprises should organize and function. Striking a practical balance between theory and practice, The...
Persistent link: https://www.econbiz.de/10012683859
Cover Image
Process science in action : a literature review on process mining in business management
Zerbino, Pierluigi; Stefanini, Alessandro; Aloini, Davide - In: Technological forecasting & social change : an … 172 (2021), pp. 1-20
Persistent link: https://www.econbiz.de/10013174439
Cover Image
Ellipsoidal one-class constraint acquisition for quadratically constrained programming
Pawlak, Tomasz P.; Litwiniuk, Bartosz - In: European journal of operational research : EJOR 293 (2021) 1, pp. 36-49
Persistent link: https://www.econbiz.de/10012502446