Special Issue "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).
Dr. Xiaohui Yuan
Prof. Dr. M. Kabir Hassan
Dr. Noura Metawa
Collage of Business Administration, University of New Orleans, USA
Faculty of Commerce, Mansoura University, Egypt
Website | E-Mail
Interests: corporate finance; banking and finance; financial management; statistics; banking; capital structure; financial market regulation; money and banking; expert systems
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 Proposed submissions should be original, unpublished, and have novel in-depth research that makes significant methodological or application contributions.Dr.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 Elhoseny
Dr. Xiaohui Yuan
Dr. Noura Metawa
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- 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