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This item is licensed Korea Open Government License
- dc.contributor.author
- 최성필
- dc.contributor.author
- 맹성현
- dc.contributor.author
- 조현양
- dc.date.accessioned
- 2019-08-28T07:40:47Z
- dc.date.available
- 2019-08-28T07:40:47Z
- dc.date.issued
- 2009-06-22
- dc.identifier.issn
- 1976-7277
- dc.identifier.uri
- https://repository.kisti.re.kr/handle/10580/13805
- dc.description.abstract
- This paper introduces DICE, a Domain-Independent text Classification Engine. DICE is robust, efficient, and domain-independent in terms of software and architecture. Each module of the system is clearly modularized and encapsulated for extensibility. The clear modular architecture allows for simple and continuous verification and facilitates changes in multiple cycles, even after its major development period is complete.
- dc.language
- kor
- dc.relation.ispartofseries
- Transactions on Internet and Information Systems (TIIS)
- dc.title.alternative
- Guiding Practical Text Classification Framework to Optimal State in Multiple Domains
- dc.citation.endPage
- 307
- dc.citation.number
- 3
- dc.citation.startPage
- 285
- dc.citation.volume
- 3
- dc.subject.keyword
- Document classification
- dc.subject.keyword
- test bed
- dc.subject.keyword
- machine learning
- dc.subject.keyword
- text categorization
- dc.subject.keyword
- feature selection
- dc.subject.keyword
- text mining
- dc.subject.keyword
- lemmatization
- Appears in Collections:
- 7. KISTI 연구성과 > 학술지 발표논문
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- There are no files associated with this item.
