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Assessing wine quality using a decision tree
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lee, Seunghan | - |
| dc.contributor.author | Park, Juyoung | - |
| dc.contributor.author | Kang, Kyungtae | - |
| dc.date.accessioned | 2021-06-22T21:25:16Z | - |
| dc.date.available | 2021-06-22T21:25:16Z | - |
| dc.date.created | 2021-01-22 | - |
| dc.date.issued | 2015-09 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/20246 | - |
| dc.description.abstract | Even though wine-drinkers generally agree that wines may be ranked by quality, wine-tasting is famously subjective. There have been many attempts to construct a more methodical approach to the assessment of wines. We propose a method of assessing wine quality using a decision tree, and test it against the wine-quality dataset from the UC Irvine Machine Learning Repository. Results are 60% in agreement with traditional assessment techniques. © 2015 IEEE. | - |
| dc.language | 영어 | - |
| dc.language.iso | en | - |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
| dc.title | Assessing wine quality using a decision tree | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | Kang, Kyungtae | - |
| dc.identifier.doi | 10.1109/SysEng.2015.7302752 | - |
| dc.identifier.scopusid | 2-s2.0-84954468706 | - |
| dc.identifier.wosid | 000380559200028 | - |
| dc.identifier.bibliographicCitation | 1st IEEE International Symposium on Systems Engineering, ISSE 2015 - Proceedings, pp.176 - 178 | - |
| dc.relation.isPartOf | 1st IEEE International Symposium on Systems Engineering, ISSE 2015 - Proceedings | - |
| dc.citation.title | 1st IEEE International Symposium on Systems Engineering, ISSE 2015 - Proceedings | - |
| dc.citation.startPage | 176 | - |
| dc.citation.endPage | 178 | - |
| dc.type.rims | ART | - |
| dc.type.docType | Conference Paper | - |
| dc.description.journalClass | 3 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | other | - |
| dc.relation.journalResearchArea | Computer Science | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
| dc.subject.keywordPlus | Artificial intelligence | - |
| dc.subject.keywordPlus | Decision trees | - |
| dc.subject.keywordPlus | Learning systems | - |
| dc.subject.keywordPlus | Statistical tests | - |
| dc.subject.keywordPlus | Systems engineering | - |
| dc.subject.keywordPlus | Machine learning repository | - |
| dc.subject.keywordPlus | Methodical approach | - |
| dc.subject.keywordPlus | Traditional assessment | - |
| dc.subject.keywordPlus | Wine quality | - |
| dc.subject.keywordPlus | Wine tasting | - |
| dc.subject.keywordPlus | Wine | - |
| dc.subject.keywordAuthor | Artificial intelligence | - |
| dc.subject.keywordAuthor | Decision trees | - |
| dc.subject.keywordAuthor | Learning systems | - |
| dc.subject.keywordAuthor | Statistical tests | - |
| dc.subject.keywordAuthor | Systems engineering | - |
| dc.subject.keywordAuthor | Machine learning repository | - |
| dc.subject.keywordAuthor | Methodical approach | - |
| dc.subject.keywordAuthor | Traditional assessment | - |
| dc.subject.keywordAuthor | Wine quality | - |
| dc.subject.keywordAuthor | Wine tasting | - |
| dc.subject.keywordAuthor | Wine | - |
| dc.identifier.url | https://ieeexplore.ieee.org/document/7302752/ | - |
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- Kang, Kyung tae
- COLLEGE OF COMPUTING (DEPARTMENT OF ARTIFICIAL INTELLIGENCE)