Expert Systems in Finance

Regular price €192.20
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
Badan Penyelenggara Jaminan Sosial
Big data
Big Data System
Botrytis Cinerea
Business Process
Carp
Category=KF
Category=KJQ
Category=UYQ
Cloud Computing
Credit Score
credit scoring algorithms
deep learning for trading strategies
e-commerce analytics
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Essential Oils
Evolutionary Computing Applications
Expert Systems and applications
Eye Movement Metrics
Feature Selection Methods
Financial Data Analysis
financial risk modelling
GA Base Feature Selection
Humpback Whales
Influence E-commerce Adoption
Intelligent Algorithms in Finance
Intelligent Applications
intelligent decision support
Internet of Things
Liquidity Risk Factor
machine learning in banking
Named Entity Recognition
Permanent Magnet Synchronous Motors
POS Tag
Privacy Risk Perception
quantitative portfolio optimisation
Saudi Youths
Saw
Smartphone Applications
Spp
Time Series Momentum
Tsk Type
Urban Waste Collection

Product details

  • ISBN 9780367109523
  • Weight: 740g
  • Dimensions: 156 x 234mm
  • Publication Date: 28 May 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
Secure checkout Fast Shipping Easy returns

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.

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.