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Author : Daniel Edmund O'Leary,Paul R. Watkins Publisher : North Holland Page : 288 pages File Size : 45,6 Mb Release : 1992 Category : Accounting ISBN : UOM:39015029742353
Expert Systems in Finance by Daniel Edmund O'Leary,Paul R. Watkins Pdf
This volume is a collection of cutting-edge research and applications chapters dealing with Expert System (ES) technologies in finance. Expert Systems in Finance and Accounting provides a cross-section of materials dealing with the application of ES in both finance and accounting areas ranging from variance analysis and audit selection in accounting to commodity trading, computerized trading and credit risk assessment in finance. The book identifies issues and opportunities for applying Expert Systems technology to financial management, portfolio and investment analysis and financial institutions.
Expert Systems in Finance by Noura Metawa,Mohamed Elhoseny,Aboul Ella Hassanien,M. Kabir Hassan Pdf
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.
Expert Systems in Finance and Accounting by Robert J. Thierauf Pdf
The book is divided into four parts and begins by offering a framework for developing expert systems in finance and accounting. In the second part, the author reviews the current state of development for programming languages in expert systems, the computer hardware necessary to run expert systems, and expert system shells useful in developing business expert systems. Part 3 presents an in-depth examination of the procedures used in developing expert systems, while the final part focuses on typical applications of expert systems in finance and accounting.
Expert Systems in Banking by Dimitris N Chorafas,Heinrich Steinmann,Heinrich Steinman Pdf
This book presents the reader with a complete and comprehensive picture of what is happening today in banks and other financial institutions in terms of expert systems implementation. In addition it helps in refining the reader's thoughts on how to build an environment for the successful implementation of expert systems in banking - and how to sell this concept to management including risks and opportunities.
Expert Systems in Business and Finance by Lance B. Eliot Pdf
Articles written by foremost experts in their respective fields consider four major issues crucial for successful utilization of the technology in the research, development and implementation phases. Coverage includes areas of integration and design; the cognitive side of expert systems; key concepts and applications underlying verification, validation, auditability and security of expert systems; a variety of issues ranging from legal and training to actual production systems in areas of finance and accounting.
Author : Robert R. Trippi Publisher : Van Nostrand Reinhold Company Page : 326 pages File Size : 55,7 Mb Release : 1990 Category : Business & Economics ISBN : IND:30000027294432
Mathematical Models for Decision Support by Harvey J. Greenberg,Gautam Mitra,Freerk A. Lootsma,Marcel J. Rijckaert,Hans J. Zimmermann Pdf
It is quite an onerous task to edit the proceedings of a two week long institute with learned contributors from many parts of the world. All the same, the editorial team has found the process of refereeing and reviewing the contributions worthwhile and completing the volume has proven to be a satisfying task. In setting up the institute we had considered models and methods taken from a number of different disciplines. As a result the whole institute - preparing for it, attending it and editing the proceedings - proved to be an intense learning experience for us. Here I speak on behalf of the committee and the editorial team. By the time the institute took place, the papers were delivered and the delegates exchanged their views, the structure of the topics covered and their relative positioning appeared in a different light. In editing the volume I felt compelled to introduce a new structure in grouping the papers. The contents of this volume are organised in eight main sections set out below: 1 . Abstracts. 2. Review Paper. 3. Models with Multiple Criteria and Single or Multiple Decision Makers. 4. Use of Optimisation Models as Decision Support Tools. 5. Role of Information Systems in Decision Making: Database and Model Management Issues. 6. Methods of Artificial Intelligence in Decision Making: Intelligent Knowledge Based Systems. 7. Representation of Uncertainty in Mathematical Models and Knowledge Based Systems. 8. Mathematical Basis for Constructing Models and Model Validation.
Economic and Financial Knowledge-Based Processing by Louis F. Pau,Claudio Gianotti Pdf
As banks, financial services, insurances, and economic research units worldwide strive to add knowledge based capabilities to their analyses and services, or to create new ones, this volume aims to provide them with concrete tools, methods and application possibilities. The tutorial component of the book relies on case study illustrations, and on source code in some of the major artificial intelligence languages. The applications related component includes an extensive survey of real projects, and a number of thorough generic methods and tools for auditing, technical analysis, information screens and natural-language front-ends. The research related component highlights novel methods and software for economic reasoning under uncertainty and for fusion of qualitative/quantitative model-based economic reasoning.
The Handbook of Applied Expert Systems by Jay Liebowitz Pdf
The Handbook of Applied Expert Systems is a landmark work dedicated solely to this rapidly advancing area of study. Edited by Jay Liebowitz, a professor, author, and consultant known around the world for his work in the field, this authoritative source covers the latest expert system technologies, applications, methodologies, and practices. The book features contributions from more than 40 of the world's foremost expert systems authorities in industry, government, and academia. The Handbook is organized into two major sections. The first section explains expert systems technologies while the second section focuses on applied examples in a wide variety of industries. Key topics covered include fuzzy systems, genetic algorithm development, machine learning, knowledge representation, and much more.
