Expert Systems: Applications of Business Intelligence in Big Data Environments
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: closed (20 October 2018) | Viewed by 114397
Special Issue Editors
Interests: intelligent systems; data security; networks; internet of things; big data analysis; machine learning algorithms
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; computer vision; remote sensing; robotics; health
Special Issues, Collections and Topics in MDPI journals
Interests: financial institutions and markets; emerging markets and financial development; international finance; applied economics; corporate finance; Islamic economics, banking and finance
Special Issues, Collections and Topics in MDPI journals
Faculty of Commerce, Mansoura University, Egypt
Interests: corporate finance; banking and finance; financial management; statistics; banking; capital structure; financial market regulation; money and banking; expert systems
Special Issue Information
Dear Colleagues,
In order to reduce the risk of human mistakes in financial domains, expert systems have gained a great advantage in big data environments. In addition to their efficiency in quantitative analyses, 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 application sizes, 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 overall aim of this Special Issue is to collect state-of-the-art research findings on the latest development, up-to-date issues, and challenges in the field of expert systems for business intelligence and big data analytics in financial applications. Proposed submissions should be original, unpublished, and have novel in-depth research that makes significant methodological or application contributions.
Dr. Mohamed ElhosenyDr. Xiaohui Yuan
Dr. Noura Metawa
Guest Editors
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Keywords
- Business Intelligence Applications
- Intelligent Distributed Applications in E-Commerce, E-Health, E-Government
- Big data analysis in real life business applications
- Utility-Based Data Mining in Business Applications
- Internet of Things (IoT) Application in Financial management
- Intelligent Investment Advisory
- Expert systems in banking management
- Smart models of strategic financial planning
- Decision Support Systems
- Secure data processing in business 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
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