| dc.contributor | 金融系 | |
| dc.creator (作者) | 羅秉政 | |
| dc.date (日期) | 2025-09 | |
| dc.date.accessioned | 7-Apr-2026 13:17:43 (UTC+8) | - |
| dc.date.available | 7-Apr-2026 13:17:43 (UTC+8) | - |
| dc.date.issued (上傳時間) | 7-Apr-2026 13:17:43 (UTC+8) | - |
| dc.identifier.uri (URI) | https://ah.lib.nccu.edu.tw/item?item_id=181943 | - |
| dc.description.abstract (摘要) | This project stimulates the discussion on the relevance of accounting knowledge in the machine learning or AI era. The study would also demonstrate how to incorporate the domain knowledge in accounting in estimating gradient boosted tree model, and conduct the empirical research in relative valuation. | |
| dc.format.extent | 116 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | 國家科學及技術委員會, NSTC113-2410-H004-008, 113.08-114.07 | |
| dc.subject (關鍵詞) | 基本分析; 機器學習; 相對平價; 決策樹模型 | |
| dc.subject (關鍵詞) | Fundamental analysis; machine learning; relative valuation; decision tree model | |
| dc.title (題名) | 會計知識能否協助機器學習基本分析？ | |
| dc.title (題名) | Can Accounting Knowledge Help the Machine Better Learn Fundamental Analysis? | |
| dc.type (資料類型) | report | |
