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Novel Financial Applications of Machine Learning and Deep Learning
Editor
Listed:
- Mohammad Zoynul Abedin(Teesside University International Business School, Teesside University)Petr Hajek(University of Pardubice)
Abstract
No abstract is available for this item.
Individual chapters are listed in the "Chapters" tab
Suggested Citation
DOI: 10.1007/978-3-031-18552-6
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Book Chapters
The following chapters of this book are listed in IDEAS- Morshadul Hasan & Ariful Hoque, 2023. "FinTech Risk Management and Monitoring," International Series in Operations Research & Management Science, in: Mohammad Zoynul Abedin & Petr Hajek (ed.), Novel Financial Applications of Machine Learning and Deep Learning, pages 3-16, Springer.
- Shakila Akter & Mohammad Samiul Haque & Ashrafuzzaman Sohag & Md. Jahangir Alam Siddikee & Mohammad Zoynul Abedin, 2023. "Digital Transformation of Supply Chain with Supportive Culture in Blockchain Environment," International Series in Operations Research & Management Science, in: Mohammad Zoynul Abedin & Petr Hajek (ed.), Novel Financial Applications of Machine Learning and Deep Learning, pages 17-33, Springer.
- Emon Kalyan Chowdhury, 2023. "Integration of Artificial Intelligence Technology in Management Accounting Information System: An Empirical Study," International Series in Operations Research & Management Science, in: Mohammad Zoynul Abedin & Petr Hajek (ed.), Novel Financial Applications of Machine Learning and Deep Learning, pages 35-46, Springer.
- Mandella Osei-Assibey Bonsu & Naheed Roni & Yongsheng Guo, 2023. "The Impact of Big Data on Accounting Practices: Empirical Evidence from Africa," International Series in Operations Research & Management Science, in: Mohammad Zoynul Abedin & Petr Hajek (ed.), Novel Financial Applications of Machine Learning and Deep Learning, pages 47-71, Springer.
- Md. Rabiul Auwul & Md. Ajijul Hakim & Fahmida Tasnim Dhonno & Nusrat Afrin Shilpa & Ashrafuzzaman Sohag & Mohammad Zoynul Abedin, 2023. "Using Outlier Modification Rule for Improvement of the Performance of Classification Algorithms in the Case of Financial Data," International Series in Operations Research & Management Science, in: Mohammad Zoynul Abedin & Petr Hajek (ed.), Novel Financial Applications of Machine Learning and Deep Learning, pages 75-92, Springer.
- Fahmida-E-Moula & Nusrat Afrin Shilpa & Preity Shaha & Petr Hajek & Mohammad Zoynul Abedin, 2023. "Default Risk Prediction Based on Support Vector Machine and Logit Support Vector Machine," International Series in Operations Research & Management Science, in: Mohammad Zoynul Abedin & Petr Hajek (ed.), Novel Financial Applications of Machine Learning and Deep Learning, pages 93-106, Springer.
- David Veganzones, 2023. "Predicting Corporate Failure Using Ensemble Extreme Learning Machine," International Series in Operations Research & Management Science, in: Mohammad Zoynul Abedin & Petr Hajek (ed.), Novel Financial Applications of Machine Learning and Deep Learning, pages 107-124, Springer.
- Baofeng Shi, 2023. "Assessing and Predicting Small Enterprises’ Credit Ratings: A Multicriteria Approach," International Series in Operations Research & Management Science, in: Mohammad Zoynul Abedin & Petr Hajek (ed.), Novel Financial Applications of Machine Learning and Deep Learning, pages 125-149, Springer.
- Sad Wadi Sajid & Mahmudul Hasan & Md. Fazle Rabbi & Mohammad Zoynul Abedin, 2023. "An Ensemble LGBM (Light Gradient Boosting Machine) Approach for Crude Oil Price Prediction," International Series in Operations Research & Management Science, in: Mohammad Zoynul Abedin & Petr Hajek (ed.), Novel Financial Applications of Machine Learning and Deep Learning, pages 153-165, Springer.
- Mahmudul Hasan & Ushna Das & Rony Kumar Datta & Mohammad Zoynul Abedin, 2023. "Model Development for Predicting the Crude Oil Price: Comparative Evaluation of Ensemble and Machine Learning Methods," International Series in Operations Research & Management Science, in: Mohammad Zoynul Abedin & Petr Hajek (ed.), Novel Financial Applications of Machine Learning and Deep Learning, pages 167-179, Springer.
- Armana Hakim Nadi & Syed Far Abid Hossain & Al Mahmud Hasan & Mahbuba Rahman Sofin & Saadman Shabab & Md. Ahmedul Islam Sohan & Chunyun Yuan, 2023. "Discovering the Role of M-Learning Among Finance Students: The Future of Online Education," International Series in Operations Research & Management Science, in: Mohammad Zoynul Abedin & Petr Hajek (ed.), Novel Financial Applications of Machine Learning and Deep Learning, pages 183-196, Springer.
- Syed Far Abid Hossain & Armana Hakim Nadi & Rahma Akhter & Md. Ahmedul Islam Sohan & Faiza Tanaz Ahsan & Mahbuba Rahman Shofin & Saadmann Shabab & Tanusree Karmoker & Krishna Paul, 2023. "Exploring the Role of Mobile Technologies in Higher Education: The Impact of Online Teaching on Traditional Learning," International Series in Operations Research & Management Science, in: Mohammad Zoynul Abedin & Petr Hajek (ed.), Novel Financial Applications of Machine Learning and Deep Learning, pages 197-216, Springer.
- Md. Rabiul Auwul & Md. Ajijul Hakim & Fahmida Tasnim Dhonno & Nusrat Afrin Shilpa & Mohammad Zoynul Abedin, 2023. "Knowledge Mining from Health Data: Application of Feature Selection Approaches," International Series in Operations Research & Management Science, in: Mohammad Zoynul Abedin & Petr Hajek (ed.), Novel Financial Applications of Machine Learning and Deep Learning, pages 217-231, Springer.
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