download0 view868
twitter facebook

공공누리This item is licensed Korea Open Government License

dc.contributor.author
김진형
dc.contributor.author
정도헌
dc.contributor.author
이미경
dc.contributor.author
이승우
dc.contributor.author
정한민
dc.contributor.author
황명권
dc.date.accessioned
2019-08-28T07:41:17Z
dc.date.available
2019-08-28T07:41:17Z
dc.date.issued
2013-02-01
dc.identifier.issn
1343-4500
dc.identifier.uri
https://repository.kisti.re.kr/handle/10580/14129
dc.description.abstract
Analyzing mass information and supporting future insight based on analysis results are very important work but it requires much effort and time. Information analysis and future predictions about the science and IT field data are also very critical tasks for researchers, government officers, businessman, etc. Therefore, in this paper, we propose a technology opportunity discovery (TOD) model based on feature selection and decision making for effective, systematic, and objective information analysis and future forecasting in the science and IT fields. In addition, we execute a comparative evaluation between the suggested TOD model and Gartne forecasting model for validating the suggested model.
dc.language
kor
dc.relation.ispartofseries
Information Journal
dc.title
기술 트랜드 분석 및 예측을 위한 TOD 모델 설계
dc.citation.endPage
1377
dc.citation.number
2
dc.citation.startPage
1371
dc.citation.volume
16
dc.identifier.bibliographicCitation
vol. 16, no. 2, page. 1371 - 1377
dc.subject.keyword
TechnologyOpportunityDiscovery
dc.subject.keyword
InformationAnalysis
dc.subject.keyword
InformationPrediction
dc.subject.keyword
FeatureSelection
dc.subject.keyword
DecisionMaking
Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
Files in This Item:
There are no files associated with this item.

Browse