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Utilizing AI and machine learning in financial analysis
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Utilizing AI and machine learning in financial analysis/ Dina Darwish, Sanjeev Kumar, editors.
remainder title:
Utilizing artificial intelligence and machine learning in financial analysis
other author:
Kumar, Sanjeev,
Published:
Hershey, Pennsylvania :IGI Global Scientific Publishing, : 2025.,
Description:
1 online resource (xxx, 629 p.) :ill. :
Subject:
Finance - Data processing. -
Online resource:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-8507-4
ISBN:
9798369385098
Utilizing AI and machine learning in financial analysis
Utilizing AI and machine learning in financial analysis
[electronic resource] /Utilizing artificial intelligence and machine learning in financial analysisDina Darwish, Sanjeev Kumar, editors. - Hershey, Pennsylvania :IGI Global Scientific Publishing,2025. - 1 online resource (xxx, 629 p.) :ill.
Includes bibliographic references and index.
Preface -- Chapter 1. Detecting and Preventing Fraud Transaction Using Artificial Intelligence in Banking -- Chapter 2. Leveraging Machine Learning for Fraud Detection in the Financial Sector -- Chapter 3. ML-Based Data Analysis forStock Market Forecasting -- Chapter 4. AI-Driven Strategies for Maximizing Revenue in Tourism: A Comprehensive Review of Literature -- Chapter 5. Employment of Ml and AI In Asset Management and Evaluation -- Chapter 6. Significance of Machine Learning Use in Financial Services -- Chapter 7. Research Directions in Machine Learning and AI for Financial Innovation and Risk Management -- Chapter 8. Transforming Financial Services With Artificial Intelligence and Machine Learning:Insights Into Opportunities and Emerging Trends -- Chapter 9. AI-Powered Insights: Unlocking the Future of Stock Market Predictions -- Chapter 10. Utilizing AI and Machine Learning in Financial Analysis -- Chapter 11. Envisioning the Future: The Evolution and Impact of AI and Machine Learning in Finance -- Chapter 12. Analyzing Financial Sentiments Using BERT Model: A Deep Dive Into Market Perception and Investor Behavior for Informed Investment Decisions -- Chapter 13. AI and Its Transformative Role in Financial Services -- Chapter 14. Enhancing Fraud Detection in Finance Through AI and Machine Learning -- Chapter 15. Artificial Intelligence Enhancing Customer Relations in Financial Sectors -- Chapter 16. TheImplications of Missing Data on the Stability of Random Forest and Support Vector Machine Model's Output -- Chapter 17. Predictive Analytics in Finance: Leveraging AI and Machine Learning for Investment Strategies -- Chapter 18. AI and Machine Learning-Driven Model for Assessing Financial Risk Networks -- Chapter 19. Reimagining Customer Relations Through AI Innovation -- Chapter 20. A Comprehensive Survey and Analysis of Bank Employee Retention Policies -- Chapter 21. Revolutionize the Financial Services: Artificial Intelligence in the Finance Sector -- Chapter 22. Unleashing the Power of AI: Exploring the Transformative Landscape of Image Analysis -- Chapter 23. ML Use in Fraud Detection in the Financial Sector -- Chapter 24. AI-Powered Financial Inclusion: Bridging the Gap for the Unbanked -- Chapter 25. Applications of Generative AI in Fintech -- Chapter 26. The Future of Machine Learning and Artificial Intelligence in Finance -- Chapter 27.Importance of Using AI and ML in the Financial Sector for Risk Prevention and Management -- Chapter 28. Artificial Intelligence in the fields of Financial Management and Hospitality -- Chapter 29. Blockchain-Driven Innovations in the Banking and Financial Sectors: Harnessing the Power of Automated Machine Learning -- Chapter 30. Predictive Analytics in Finance: Leveraging AI and Machine Learning for Market Forecasting -- Chapter 31. Service Quality and Tourist Decision-Making: A Bibliometric Review Utilizing AI -- About the Contributors -- Index.
"This book offers many chapters discussing recent trends and developments in using Artificial Intelligence and Machine Learning in financial analysis, and how this benefits companies. And the book is intended for undergraduate, postgraduate students, researchers and practitioners interested in acquiring knowledge about recent trends in this topic"--
Mode of access: World Wide Web.
ISBN: 9798369385098Subjects--Topical Terms:
559347
Finance
--Data processing.Subjects--Index Terms:
Accounting and Finance.Index Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: HG104 / .U85 2025eb
Dewey Class. No.: 332.10285
Utilizing AI and machine learning in financial analysis
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Dina Darwish, Sanjeev Kumar, editors.
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Utilizing artificial intelligence and machine learning in financial analysis
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Hershey, Pennsylvania :
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ill.
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Includes bibliographic references and index.
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Preface -- Chapter 1. Detecting and Preventing Fraud Transaction Using Artificial Intelligence in Banking -- Chapter 2. Leveraging Machine Learning for Fraud Detection in the Financial Sector -- Chapter 3. ML-Based Data Analysis forStock Market Forecasting -- Chapter 4. AI-Driven Strategies for Maximizing Revenue in Tourism: A Comprehensive Review of Literature -- Chapter 5. Employment of Ml and AI In Asset Management and Evaluation -- Chapter 6. Significance of Machine Learning Use in Financial Services -- Chapter 7. Research Directions in Machine Learning and AI for Financial Innovation and Risk Management -- Chapter 8. Transforming Financial Services With Artificial Intelligence and Machine Learning:Insights Into Opportunities and Emerging Trends -- Chapter 9. AI-Powered Insights: Unlocking the Future of Stock Market Predictions -- Chapter 10. Utilizing AI and Machine Learning in Financial Analysis -- Chapter 11. Envisioning the Future: The Evolution and Impact of AI and Machine Learning in Finance -- Chapter 12. Analyzing Financial Sentiments Using BERT Model: A Deep Dive Into Market Perception and Investor Behavior for Informed Investment Decisions -- Chapter 13. AI and Its Transformative Role in Financial Services -- Chapter 14. Enhancing Fraud Detection in Finance Through AI and Machine Learning -- Chapter 15. Artificial Intelligence Enhancing Customer Relations in Financial Sectors -- Chapter 16. TheImplications of Missing Data on the Stability of Random Forest and Support Vector Machine Model's Output -- Chapter 17. Predictive Analytics in Finance: Leveraging AI and Machine Learning for Investment Strategies -- Chapter 18. AI and Machine Learning-Driven Model for Assessing Financial Risk Networks -- Chapter 19. Reimagining Customer Relations Through AI Innovation -- Chapter 20. A Comprehensive Survey and Analysis of Bank Employee Retention Policies -- Chapter 21. Revolutionize the Financial Services: Artificial Intelligence in the Finance Sector -- Chapter 22. Unleashing the Power of AI: Exploring the Transformative Landscape of Image Analysis -- Chapter 23. ML Use in Fraud Detection in the Financial Sector -- Chapter 24. AI-Powered Financial Inclusion: Bridging the Gap for the Unbanked -- Chapter 25. Applications of Generative AI in Fintech -- Chapter 26. The Future of Machine Learning and Artificial Intelligence in Finance -- Chapter 27.Importance of Using AI and ML in the Financial Sector for Risk Prevention and Management -- Chapter 28. Artificial Intelligence in the fields of Financial Management and Hospitality -- Chapter 29. Blockchain-Driven Innovations in the Banking and Financial Sectors: Harnessing the Power of Automated Machine Learning -- Chapter 30. Predictive Analytics in Finance: Leveraging AI and Machine Learning for Market Forecasting -- Chapter 31. Service Quality and Tourist Decision-Making: A Bibliometric Review Utilizing AI -- About the Contributors -- Index.
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"This book offers many chapters discussing recent trends and developments in using Artificial Intelligence and Machine Learning in financial analysis, and how this benefits companies. And the book is intended for undergraduate, postgraduate students, researchers and practitioners interested in acquiring knowledge about recent trends in this topic"--
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Artificial intelligence
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Fintech.
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Banking.
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Customer Relations.
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Data Science and Analysis.
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Financial Technologies.
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Fraud Detection.
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Generative Artificial Intelligence.
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Predictive Analytics.
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Stock Markets.
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Kumar, Sanjeev,
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Darwish, Dina
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-8507-4
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