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Feature Selection for High-Dimensional, High-Cardinality Data in NFT Valuation: A Case Study of Azuki
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 이희정 | - |
| dc.date.accessioned | 2026-06-24T14:38:09Z | - |
| dc.date.available | 2026-06-24T14:38:09Z | - |
| dc.date.issued | 2025-08-21 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/215265 | - |
| dc.title | Feature Selection for High-Dimensional, High-Cardinality Data in NFT Valuation: A Case Study of Azuki | - |
| dc.type | Conference | - |
| dc.citation.conferenceName | EcoSta 2025 - 8th International Conference on Econometrics and Statistics | - |
| dc.citation.conferencePlace | 일본 도쿄 와세다 대학 | - |
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