Expert Systems in Finance: Smart Financial Applications in Big Data Environments, 1st Edition (Hardback) book cover

Expert Systems in Finance

Smart Financial Applications in Big Data Environments, 1st Edition

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

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14 pages | 39 B/W Illus.

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Description

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.

Table of Contents

List of figures. List of tables. List of contributors.

1 Theoretical and practical foundations of liquidity-adjusted value-at-risk (LVaR): optimization algorithms for portfolio selection and management. Mazin A. M. Al Janabi

2 Financial analysis for mobile and cloud applications. Jennifer Brodmann and Makeen Huda

3 Eye movement study of customers on video advertising marketing. Xiaolong Liu, Ruoqi Liang

4 An optimization algorithm and smart model for periodic capacitated arc routing problem considering mobile disposal sites. Erfan Babaee Tirkolaee, Ali Asghar Rahmani Hosseinabadi

5 Opinion mining analysis of e-commerce sites using fuzzy clustering with whale optimization techniques. K. Shankar, M. Ilayaraja, P. Deepalakshmi, S. Ramkumar, K. Sathesh Kumar, S. K. Lakshmanaprabu and Andino Maseleno

6 Big data text mining in the financial sector. Mirjana Pejić Bach, Živko Krstić,, Sanja Seljan

7 CEL: citizen economic level using SAW. Andino Maseleno, K. Shankar, Prayugo Khoir, Muhammad Muslihudin

8 The investment opportunities for building smartphone applications for tourist cities in Saudi Arabia: the case of Abha City. Saeed Q. Al-Khalidi Al-Maliki and Mohammed A. Al-Ghobiri

9 An applied credit scoring model. Esther Castro, M. Kabir Hassan and Mark Rosa

10 Intelligent distributed applications in e-commerce and e-banking. Jennifer Brodmann and Phuvadon Wuthisatian

11 Feature selection-based data classification for stock price prediction using ant-miner algorithm. Saravanan Ramalingam and Pothula Sujatha

12 The value of simulations characterizing classes of symbiosis: ABCs of formulation design. K. Basaid, B. Chebli, J.N. Furze, E.H. Mayad and R. Bouharroud

13 Application of project scheduling in production process for paddy cleaning machine by using PERT & CPM techniques: case study. S. Bangphan, P.Bangphan and S. Phanphet

14 The management of deep learning algorithms to enhance momentum trading strategies during the time frame to quick detect market of smart money. Khalid Abouloula, Ali Ou-Yassine and Salah-ddine Krit

15 Pattern to build a robust trend indicator for automated trading. Khalid Abouloula, Ali Ou-Yassine and Salah-ddine Krit

Index

About the Editors

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.

About the Series

Banking, Money and International Finance

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Subject Categories

BISAC Subject Codes/Headings:
BUS000000
BUSINESS & ECONOMICS / General
BUS027000
BUSINESS & ECONOMICS / Finance
BUS027010
BUSINESS & ECONOMICS / Finance / Financial Engineering
BUS069000
BUSINESS & ECONOMICS / Economics / General
BUS070140
BUSINESS & ECONOMICS / Industries / Financial Services
COM037000
COMPUTERS / Machine Theory
TEC009000
TECHNOLOGY & ENGINEERING / Engineering (General)