Advanced Machine Learning Algorithms for Complex Financial Applications (Advances in Finance, Accounting, and Economics (AFAE) Book Series) - Hardcover

Hardcover

ISBN 10: 1668444836 ISBN 13: 9781668444832

Verlag: IGI Global, 2023

Inhaltsangabe

The advancements in artificial intelligence and machine learning have significantly affected the way financial services are offered and adopted today. Important financial decisions such as investment decision making, macroeconomic analysis, and credit evaluation are becoming more complex within the field of finance. Artificial intelligence and machine learning, with their spectacular success accompanied by unprecedented accuracies, have become increasingly important in the finance world. Advanced Machine Learning Algorithms for Complex Financial Applications provides innovative research on the roles of artificial intelligence and machine learning algorithms in financial sectors with special reference to complex financial applications such as financial risk management in big data environments. In addition, the book addresses broad challenges in both theoretical and application aspects of artificial intelligence in the field of finance. Covering essential topics such as secure transactions, financial monitoring, and data modeling, this reference work is crucial for financial specialists, researchers, academicians, scholars, practitioners, instructors, and students.

Über diesen Titel

Über die Autorin bzw. den Autor

Mohammad Irfan is presently working as an Associate Professor at CMR Institute of Technology, Bangalore. Prior joining to CMRIT, he was associated with the School of Business, AURO University, Surat, Gujarat for five years. He is MBA (Finance and Marketing) and M.Com (Account and Law). Dr. Irfan has done this Ph.D. from the Central University of Haryana. He has qualified UGC-SRF/NET in Management and UGC-NET in Commerce. Dr. Irfan has also qualified NSEs (NCFM) and BSEs Certification. He has experience of fifteen years in the area of Financial Management, Portfolio Management, Data Analysis for Business, Financial Engineering, Financial Analytics, Fintech, Financial modeling in Excel, Green Finance, and Alternative Finance. He has to his credit various research papers published in Scopus Indexed Journals. He is an editorial board member/reviewer in several national and international journals. Dr. Irfan presented papers in IIM-A, IIM-C, IIM-Indore, IIM-Shillong, IIT-Roorkee, Indonesia, Malaysia, Nigeria, Switzerland.

Salina Kassim has a great passion in writing scholarly articles in various areas of Islamic banking and finance. She has published extensively in academic journals with nearly 200 scholarly articles in the areas of her research interests. She has also published several books mainly in the areas of Islamic finance. In recognition to her dynamic role as a subject matter expert, she has been appointed as member of the editorial boards of several reputable international and local journals. At present, she is supervising (and has supervised) nearly 80 post-graduate candidates at the PhD and Masters levels. She has also served as internal and external examiners for Masters and PhD theses in several universities, apart from being appointed as Adjunct Professor, Visiting Research Fellow and trainer at several universities and institutes, locally and abroad.

Details zur Ausgabe

• Verlag: IGI Global
• Erscheinungsdatum: 2023
• Sprache: Englisch
• ISBN 10: 1668444836
• ISBN 13: 9781668444832
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 324
• Herausgeber: Irfan Mohammad, Elhoseny Mohamed, Kassim Salina
• Kontakt zum Hersteller: preigu GmbH & Co. KG; mail@preigu.de; ; Lengericher Landstr. 19; Osnabrück; Niedersachsen; 49078; Deutschland