Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Enhancing U.S. Financial Compliance and Risk Management through Data-Driven Automation and Anomaly Detection
Saved in:
| Published in: | Journal of Business and Management Studies |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2022
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1864030187973246980 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Journal of Business and Management Studies |
| description | |
| discipline_display | Social Sciences |
| discipline_facet | Social Sciences |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:14398 |
| institution | FRELIP |
| journal_source_facet | Journal of Business and Management Studies |
| publishDate | 2022 |
| publishDateSort | 2022 |
| record_format | rss_article |
| spellingShingle | Enhancing U.S. Financial Compliance and Risk Management through Data-Driven Automation and Anomaly Detection — — — — — Management Sociology Social Sciences |
| sub_discipline_display | Sociology |
| sub_discipline_facet | Sociology |
| subject_display | — — — — — Management Sociology Social Sciences — — — — — Management Sociology Social Sciences |
| subject_facet | — — — — — Management Sociology Social Sciences |
| title | Enhancing U.S. Financial Compliance and Risk Management through Data-Driven Automation and Anomaly Detection |
| title_auth | Enhancing U.S. Financial Compliance and Risk Management through Data-Driven Automation and Anomaly Detection |
| title_full | Enhancing U.S. Financial Compliance and Risk Management through Data-Driven Automation and Anomaly Detection |
| title_fullStr | Enhancing U.S. Financial Compliance and Risk Management through Data-Driven Automation and Anomaly Detection |
| title_full_unstemmed | Enhancing U.S. Financial Compliance and Risk Management through Data-Driven Automation and Anomaly Detection |
| title_short | Enhancing U.S. Financial Compliance and Risk Management through Data-Driven Automation and Anomaly Detection |
| title_sort | enhancing u.s. financial compliance and risk management through data-driven automation and anomaly detection |
| topic | — — — — — Management Sociology Social Sciences |
| url | https://al-kindipublisher.com/index.php/jbms/article/view/12264 |