Data Science in Finance and Accounting
Language: English
Published by Springer Nature Switzerland AG, CH, 2026
- Hardcover
- New
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
AbeBooks seller since June 11, 2025
Condition: New
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Add to basketItem description from seller
This book brings together innovative research at the intersection of data science, machine learning, and finance. Covering a wide spectrum of topics-including explainable AI, financial distress prediction, stock market forecasting, investment strategies, audit analytics, and economic modeling-it showcases both theoretical developments and applied case studies from around the world.With chapters spanning predictive modeling, sentiment analysis, capital structure, IT governance, and Bayesian approaches to productivity, the book offers a multidisciplinary perspective on how data-driven tools are reshaping modern finance and accounting.This book presents a timely resource for academics, practitioners, and graduate students seeking to understand and apply data science in financial and accounting contexts.
Seller Inventory # LU-9783032061782
- Title
- Data Science in Finance and Accounting
- Author
- Hien Thu Thi Nguyen, Hai Hong Phan, Van-Nam Huynh
- Publisher
- Springer Nature Switzerland AG, CH
- Publication year
- 2026
- Condition
- New
- Binding
- Hardback
- Language
- English
- ISBN 10
- 3032061784
- ISBN 13
- 9783032061782
- Item weight
- 717 grams
- Dimensions
- 15.6 x 2.24 x 23.39 cm
This book brings together innovative research at the intersection of data science, machine learning, and finance. Covering a wide spectrum of topics—including explainable AI, financial distress prediction, stock market forecasting, investment strategies, audit analytics, and economic modeling—it showcases both theoretical developments and applied case studies from around the world.
With chapters spanning predictive modeling, sentiment analysis, capital structure, IT governance, and Bayesian approaches to productivity, the book offers a multidisciplinary perspective on how data-driven tools are reshaping modern finance and accounting.
This book presents a timely resource for academics, practitioners, and graduate students seeking to understand and apply data science in financial and accounting contexts.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This book brings together innovative research at the intersection of data science, machine learning, and finance. Covering a wide spectrum of topics—including explainable AI, financial distress prediction, stock market forecasting, investment strategies, audit analytics, and economic modeling—it showcases both theoretical developments and applied case studies from around the world.
With chapters spanning predictive modeling, sentiment analysis, capital structure, IT governance, and Bayesian approaches to productivity, the book offers a multidisciplinary perspective on how data-driven tools are reshaping modern finance and accounting.
This book presents a timely resource for academics, practitioners, and graduate students seeking to understand and apply data science in financial and accounting contexts.
"About the title" may belong to another edition of this title.
Rarewaves.com UK
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