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Artificial intelligence and big data for financial risk management : intelligent applications / edited by Noura Metawa, M. Kabir Hassan and Saad Metawa.

Contributor(s): Material type: TextTextLanguage: English Series: Publication details: Abingdon, Oxon ; New York, NY : Routledge, Taylor & Francis Group, 2023.Description: 1 online resource : illustrationsISBN:
  • 9781003144410
  • 1003144411
Subject(s): DDC classification:
  • 332.028541 23/eng/20220613
Online resources: Summary: "This book presents a collection of high-quality contributions on the state-of-the-art in Artificial Intelligence and Big Data analysis as it relates to financial risk management applications. It brings together, in one place, the latest thinking on an emerging topic and includes principles, reviews, examples, and research directions. The book presents numerous specific use-cases throughout, showing practical applications of the concepts discussed. It looks at technologies such as eye movement analysis, data mining or mobile apps and examines how these technologies are applied by financial institutions, and how this affects both the institutions and the market. This work introduces students and aspiring practitioners to the subject of risk management in a structured manner. It is primarily aimed at researchers and students in finance and intelligent big data applications, such as intelligent information systems, smart economics and finance applications, and the Internet of things in a marketing environment"-- Provided by publisher.
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Holdings
Item type Current library Call number Materials specified Status Date due Barcode Item holds
E-Books E-Books National Library of India Online Resource 332.028541 (Browse shelf(Opens below)) Available EBK000050499ENG
Total holds: 0

"This book presents a collection of high-quality contributions on the state-of-the-art in Artificial Intelligence and Big Data analysis as it relates to financial risk management applications. It brings together, in one place, the latest thinking on an emerging topic and includes principles, reviews, examples, and research directions. The book presents numerous specific use-cases throughout, showing practical applications of the concepts discussed. It looks at technologies such as eye movement analysis, data mining or mobile apps and examines how these technologies are applied by financial institutions, and how this affects both the institutions and the market. This work introduces students and aspiring practitioners to the subject of risk management in a structured manner. It is primarily aimed at researchers and students in finance and intelligent big data applications, such as intelligent information systems, smart economics and finance applications, and the Internet of things in a marketing environment"-- Provided by publisher.

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