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Advanced machine learning algorithms for complex financial applications

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advanced machine learning algorithms for complex financial applicationsMohammad Irfan, Mohamed Elhoseny, Salina Kassim, and Noura Saad Metawa, editors.
其他作者:	Elhoseny, Mohamed.
出版者:	Hershey, Pennsylvania :IGI Global,2023.
面頁冊數:	1 online resource (292 p.)
標題:	Machine learning.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-4483-2
ISBN:	9781668444856$q(ebook)

Advanced machine learning algorithms for complex financial applications
Advanced machine learning algorithms for complex financial applications[electronic resource] /Mohammad Irfan, Mohamed Elhoseny, Salina Kassim, and Noura Saad Metawa, editors. - Hershey, Pennsylvania :IGI Global,2023. - 1 online resource (292 p.)

Includes bibliographical references and index.

Chapter 1. Opportunities and challenges for artificial intelligence and machine learning applications in the Finance sector -- Chapter 2. Blockchain and smart contracts for secure and sustainable development -- Chapter 3. Cryptocurrency and the Indian monetary system -- Chapter 4. A theoretical perspective of artificial intelligence in hostility of cyber threats in the banking sector -- Chapter 5. Role of technology in improving the quality of financial advisory for personal financial management -- Chapter 6. Blockchain in the healthcare industry: process and applications -- Chapter 7. Does the cryptocurrency index provide diversification opportunities with MSCI world index and MSCI emerging markets index?: cryptocurrency and portfolio diversificaiton -- Chapter 8. Role of AI in the inventory management of agri-fresh produce at hopcoms -- Chapter 9. Emergence of crypto currency and the digital financial landscape: a critique -- Chapter 10. The exploratory study of machine learning on applications, challenges, and uses in the financial sector -- Chapter 11. Transforming retail markets through IoT and AI-enabled architecture to identify COVID-19 shoppers -- Chapter 12. Data modeling in Finance challenges -- Chapter 13. Review of machine learning techniques in the supply chain management of Indian industry: a future research agenda -- Chapter 14. The effect of good corporate governance on financial distress in companies listed in Sharia Stock index Indonesia: machine learning approach.

"This book clarifies the vital role of artificial intelligence and machine learning on the performance of complex financial applications processing a complex banking and financial environment"--

ISBN: 9781668444856$q(ebook)Subjects--Topical Terms:

188639
Machine learning.
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: HG173 / .A345 2022eb

Dewey Class. No.: 332.0285

Advanced machine learning algorithms for complex financial applications
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245 0 0 $a Advanced machine learning algorithms for complex financial applications $h [electronic resource] / $c Mohammad Irfan, Mohamed Elhoseny, Salina Kassim, and Noura Saad Metawa, editors.
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300 $a 1 online resource (292 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Opportunities and challenges for artificial intelligence and machine learning applications in the Finance sector -- Chapter 2. Blockchain and smart contracts for secure and sustainable development -- Chapter 3. Cryptocurrency and the Indian monetary system -- Chapter 4. A theoretical perspective of artificial intelligence in hostility of cyber threats in the banking sector -- Chapter 5. Role of technology in improving the quality of financial advisory for personal financial management -- Chapter 6. Blockchain in the healthcare industry: process and applications -- Chapter 7. Does the cryptocurrency index provide diversification opportunities with MSCI world index and MSCI emerging markets index?: cryptocurrency and portfolio diversificaiton -- Chapter 8. Role of AI in the inventory management of agri-fresh produce at hopcoms -- Chapter 9. Emergence of crypto currency and the digital financial landscape: a critique -- Chapter 10. The exploratory study of machine learning on applications, challenges, and uses in the financial sector -- Chapter 11. Transforming retail markets through IoT and AI-enabled architecture to identify COVID-19 shoppers -- Chapter 12. Data modeling in Finance challenges -- Chapter 13. Review of machine learning techniques in the supply chain management of Indian industry: a future research agenda -- Chapter 14. The effect of good corporate governance on financial distress in companies listed in Sharia Stock index Indonesia: machine learning approach.
520 3 $a "This book clarifies the vital role of artificial intelligence and machine learning on the performance of complex financial applications processing a complex banking and financial environment"-- $c Provided by publisher.
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