Expert Systems in Finance
Smart Financial Applications in Big Data Environments
Throughout the industry, financial institutions seek to eliminate cumbersome authentication methods, such as PINs, passwords, and security questions, as these antiquated tactics prove increasingly weak. Thus, many organizations now aim to implement emerging technologies in an effort to validate identities with greater certainty. The near instantaneous nature of online banking, purchases, transactions, and payments puts tremendous pressure on banks to secure their operations and procedures.In order to reduce the risk of human error in financial domains, expert systems are seen to offer a great advantage in big data environments. Besides their…
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Produktdetails
Weitere Autoren: Elhoseny, Mohamed (Hrsg.) / Hassanien, Aboul Ella (Hrsg.) / Hassan, M. Kabir (Hrsg.)
- ISBN: 978-0-429-65930-0
- EAN: 9780429659300
- Produktnummer: 31596846
- Verlag: Taylor & Francis Ltd.
- Sprache: Englisch
- Erscheinungsjahr: 2019
- Seitenangabe: 260 S.
- Plattform: PDF
- Masse: 3'924 KB
- Abbildungen: 39 schwarz-weiße Abbildungen, 2 schwarz-weiße Fotos, 37 schwarz-weiße Zeichnungen, 41 schwarz-weiße Tabellen
Über den Autor
Noura Metawa is currently an Assistant Professor of Finance, Regis University, USA, and a Lecturer at the Faculty of Commerce, Mansoura University, Egypt. Mohamed Elhoseny is currently an Assistant Professor at the Faculty of Computers and Information, Mansoura University, Egypt.Aboul Ella Hassanien is a Professor at Cairo University, Egypt, Faculty of Computers and Information, IT Department, and the Chair of the Technology Center of Blind and Visual Impaired People. M. Kabir Hassan is a Professor of Finance in the Department of Economics and Finance in the University of New Orleans, LA, USA.
2 weitere Werke von Noura (Hrsg.) Metawa:
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