Data Science in Finance and Accounting (Studies in Big Data, 181) - Hardcover

 
9783032061782: Data Science in Finance and Accounting (Studies in Big Data, 181)
Hardcover
ISBN 10: 3032061784 ISBN 13: 9783032061782
Verlag: Springer, 2026

Inhaltsangabe

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.

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Von der hinteren Coverseite

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.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2026
Sprache
Englisch
ISBN 10 
3032061784
ISBN 13 
9783032061782
Einband
Gebundene Ausgabe
Anzahl der Seiten
386
Herausgeber
Nguyen Hien Thu Thi, Phan Hai Hong, Huynh Van-Nam
Kontakt zum Hersteller
ProductSafety@springernature.com
ProductSafety@springernature.com

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