Expert Systems in Finance

Smart Financial Applications in Big Data Environments

Noura Metawa, Mohamed Elhoseny, Aboul Ella Hassanien , M. Kabir Hassan

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English

Routledge
28 May 2019

Finance & accounting; Business mathematics & systems; Artificial intelligence

Series: Banking, Money and International Finance

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 efficiency in quantitative analysis such as profitability, banking management, and strategic financial planning, expert systems have successfully treated qualitative issues including financial analysis, investment advisories, and knowledge-based decision support systems. Due to the increase in financial applications’ size, complexity, and number of components, it is no longer practical to anticipate and model all possible interactions and data processing in these applications using the traditional data processing model. The emergence of new research areas is clear evidence of the rise of new demands and requirements of modern real-life applications to be more intelligent.

This book provides an exhaustive review of the roles of expert systems within the financial sector, with particular reference to big data environments. In addition, it offers a collection of high-quality research that addresses broad challenges in both theoretical and application aspects of intelligent and expert systems in finance. The book serves to aid the continued efforts of the application of intelligent systems that respond to the problem of big data processing in a smart banking and financial environment.

Edited by: Noura Metawa, Mohamed Elhoseny, Aboul Ella Hassanien, M. Kabir Hassan
Imprint: Routledge
Country of Publication: United Kingdom
Volume: 11
Dimensions: Height: 234mm, Width: 156mm,
Weight: 453g
ISBN: 9780367109523
ISBN 10: 0367109522
Series: Banking, Money and International Finance
Pages: 14
Publication Date: 28 May 2019
Audience: College/higher education , Primary , A / AS level
Format: Hardback
Publisher's Status: Active

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.