The Applications of Machine Learning in Accounting and Auditing Research
In: Encyclopedia of Finance
Author
Abstract
Suggested Citation
DOI: 10.1007/978-3-030-91231-4_91
Download full text from publisher
To our knowledge, this item is not available for download. To find whether it is available, there are three options:1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Aniruddha Gaikwad & Tammy Chang & Brian Giera & Nicholas Watkins & Saptarshi Mukherjee & Andrew Pascall & David Stobbe & Prahalada Rao, 2022. "In-process monitoring and prediction of droplet quality in droplet-on-demand liquid metal jetting additive manufacturing using machine learning," Journal of Intelligent Manufacturing, Springer, vol. 33(7), pages 2093-2117, October.
- Yuriko Nakao & Aya Ishino & Katsuhiko Kokubu & Hitoshi Okada, 2024. "Exploring visual communication in corporate sustainability reporting: Using image recognition with deep learning," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(4), pages 3210-3234, July.
- Jian Qin & Yipeng Wang & Jialuo Ding & Stewart Williams, 2022. "Optimal droplet transfer mode maintenance for wire + arc additive manufacturing (WAAM) based on deep learning," Journal of Intelligent Manufacturing, Springer, vol. 33(7), pages 2179-2191, October.
More about this item
Keywords
Machine learning; Artificial intelligence; Accounting; Auditing; Data analytics;All these keywords.
JEL classification:
- M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
- M42 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Auditing
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-030-91231-4_91. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.