Expert Systems in Finance

Smart Financial Applications in Big Data Environments
Routledge (Verlag)
  • erschienen am 10. Mai 2019
  • |
  • 260 Seiten
E-Book | PDF ohne DRM | Systemvoraussetzungen
978-0-429-65930-0 (ISBN)

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.

  • Englisch
  • Milton
  • |
  • Großbritannien
Taylor & Francis Ltd
  • Für höhere Schule und Studium
39 schwarz-weiße Abbildungen, 2 schwarz-weiße Fotos, 37 schwarz-weiße Zeichnungen, 41 schwarz-weiße Tabellen
  • 4018,62 MB
978-0-429-65930-0 (9780429659300)
weitere Ausgaben werden ermittelt

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.

  • Cover
  • Half Title
  • Series
  • Title
  • Copyright
  • 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
  • 2 Financial analysis for mobile and cloud applications
  • 3 Eye-movement study of customers on video advertising marketing
  • 4 An optimization algorithm and smart model for periodic capacitated arc routing problem considering mobile disposal sites
  • 5 Opinion mining analysis of e-commerce sites using fuzzy clustering with whale optimization techniques
  • 6 Big data text mining in the financial sector
  • 7 CEL: citizen economic level using SAW
  • 8 The investment opportunities for building smartphone applications for tourist cities in Saudi Arabia: the case of Abha City
  • 9 An applied credit scoring model
  • 10 Intelligent distributed applications in e-commerce and e-banking
  • 11 Feature selection-based data classification for stock price prediction using ant-miner algorithm
  • 12 The value of simulations characterizing classes of symbiosis: ABCs of formulation design
  • 13 Application of project scheduling in production process for paddy cleaning machine by using PERT and CPM techniques: case study
  • 14 The management of deep learning algorithms to enhance momentum trading strategies during the time frame to quick detect market of smart money
  • 15 Pattern to build a robust trend indicator for automated trading
  • Index

Dateiformat: PDF
Kopierschutz: ohne DRM (Digital Rights Management)


Computer (Windows; MacOS X; Linux): Verwenden Sie zum Lesen die kostenlose Software Adobe Reader, Adobe Digital Editions oder einen anderen PDF-Viewer Ihrer Wahl (siehe E-Book Hilfe).

Tablet/Smartphone (Android; iOS): Installieren Sie die kostenlose App Adobe Digital Editions oder eine andere Lese-App für E-Books (siehe E-Book Hilfe).

E-Book-Reader: Bookeen, Kobo, Pocketbook, Sony, Tolino u.v.a.m. (nur bedingt: Kindle)

Das Dateiformat PDF zeigt auf jeder Hardware eine Buchseite stets identisch an. Daher ist eine PDF auch für ein komplexes Layout geeignet, wie es bei Lehr- und Fachbüchern verwendet wird (Bilder, Tabellen, Spalten, Fußnoten). Bei kleinen Displays von E-Readern oder Smartphones sind PDF leider eher nervig, weil zu viel Scrollen notwendig ist. Ein Kopierschutz bzw. Digital Rights Management wird bei diesem E-Book nicht eingesetzt.

Weitere Informationen finden Sie in unserer E-Book Hilfe.

Download (sofort verfügbar)

42,49 €
inkl. 19% MwSt.
Download / Einzel-Lizenz
E-Book bestellen