Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
A new fine-grained weighting method in multi-label text classification
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lee, C.-H. | - |
| dc.date.accessioned | 2024-09-26T11:00:46Z | - |
| dc.date.available | 2024-09-26T11:00:46Z | - |
| dc.date.issued | 2014 | - |
| dc.identifier.issn | 1613-0073 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/24658 | - |
| dc.description.abstract | Multi-label classification is one of the important research areas in data mining. In this paper, a new multilabel classification method using multinomial naive Bayes is proposed. We use a new fine-grained weighting method for calculating the weights of feature values in multinomial naive Bayes. Our experiments show that the value weighting method could improve the performance of multinomial naive Bayes learning. | - |
| dc.format.extent | 5 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | CEUR-WS | - |
| dc.title | A new fine-grained weighting method in multi-label text classification | - |
| dc.type | Article | - |
| dc.identifier.scopusid | 2-s2.0-84908310042 | - |
| dc.identifier.bibliographicCitation | CEUR Workshop Proceedings, v.1144, pp 26 - 30 | - |
| dc.citation.title | CEUR Workshop Proceedings | - |
| dc.citation.volume | 1144 | - |
| dc.citation.startPage | 26 | - |
| dc.citation.endPage | 30 | - |
| dc.type.docType | Conference Paper | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scopus | - |
- Files in This Item
- There are no files associated with this item.
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.