Call for Book Chapter

Expert Systems: Smart Financial Applications in Big Data Environments 

In order to reduce the risk of human mistakes in financial domains, expert systems have gained 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, investments advisories, and knowledge based decision support systems. Due to the increase in financial applications size, complexity and the 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 emerging of new engineering research areas is a clear evidence of the emergence of new demands and requirements of modern real-life applications to be more intelligent. Recently, expert systems with explanation for decision making can achieve a high accuracy rate to support financial institutions in a highly volatile climate. It is being promoted by the software engineering community to use such systems as the adequate solution to handle the current requirements of complex big data processing problems that demanding distribution, flexibility, and robustness. 

The main objective of this book is to provide an exhaustive review on the roles of expert systems in financial sectors with special reference to big data environments. In addition, it aims to provide a collection of high quality research works that address broad challenges in both theoretical and application aspects of intelligent and expert systems in finance. We invite colleagues to contribute original book chapters that will stimulate the continuing effort on the application of the intelligent systems that leads to solve the problem of big data processing in a smart banking and financial environment.  We invite all researchers and practitioners who are developing algorithms, systems, and applications, to share their results, ideas, and experiences.

Submission Guidelines

Submitted manuscripts should conform to the standard guidelines of the Taylor & Francis book chapter format. Manuscripts must be prepared using Latex, or MS Word. Prospective authors should submit their manuscripts electronically through easychair submission system or email through this email: [ Mohamed_elhoseny@mans.edu.eg , Mohamed.elhoseny@unt.edu]  Submitted manuscripts will be refereed by at least two independent and expert reviewers for quality, correctness, originality, and relevance.

List of Topics

• Intelligent Algorithms in Finance
• Big data analysis in financial applications.
• Internet of Things (IoT) Application in Financial management
• Intelligent Investment Advisory
• Optimization Algorithms for portfolio selection
• Expert systems in banking management
• Smart models of strategic financial planning
• Decision Support Systems in financial domains
• Secure data processing in financial applications
• Smart applications of forint exchange trading
• Big Data Economy, QoS and Business Models
• Big Data analytics for customer value creation.
• Evolutionary Computing Algorithms for Financial Applications
• Swarm Intelligence for Business Applications
• Genetic Algorithm for Business Applications
• Big Data Quality and Management for Business Applications
• Financial Analysis for Mobile and Cloud Applications
• Business Intelligence Applications for Finance
• Customer Segmentation or Profiling
• Utility-Based Data Mining in Business Applications
• Intelligent Distributed Applications in E-Commerce, E-Health, E-Government

Volume Editors

Publication

ESSFA2018 will be published by series on Money and Banking

by Taylor & Francis 

Contact

All questions about submissions should be emailed to mohamed_elhoseny@mans.edu.eg or mohamed.elhoseny@unt.edu