Implementation of Research Information Curation Service Using Prescriptive Analytics
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Among various fields at home and abroad, machine learning technology is developing rapidly, centering on deep learning. Active research is being conducted. However, due to the lack of sufficient machine learning data, opportunities such as providing high value-added content and improving service performance are missed. New entity names are registered in various documents and interpreted as different entity names depending on the context. Through prescriptive analysis-based key entity name recognition technology that collects researcher's research field, research propensity, and research activity information and converts the value of data into new phrase-unit information into word-unit qualities by constructing and utilizing generalpurpose data, we provide a research information curation service based on prescriptive analysis to solve difficulties of securing learning data for researchers who want to apply machine learning and for obtaining customized research information that corresponds to individualized services for each researcher.
Abstract
Among various fields at home and abroad, machine learning technology is developing rapidly, centering on deep learning. Active research is being conducted. However, due to the lack of sufficient machine learning data, opportunities such as providing high value-added content and improving service performance are missed. New entity names are registered in various documents and interpreted as different entity names depending on the context. Through prescriptive analysis-based key entity name recognition technology that collects researcher's research field, research propensity, and research activity information and converts the value of data into new phrase-unit information into word-unit qualities by constructing and utilizing generalpurpose data, we provide a research information curation service based on prescriptive analysis to solve difficulties of securing learning data for researchers who want to apply machine learning and for obtaining customized research information that corresponds to individualized services for each researcher.
참고문헌 (11)
- Gartner, "Predicts 2013 : Information Innovation", ~ (2013)
- Industrial Analytics Revolutionizes Big Data in the Digital Business, "Steenstrup, K.", ~ (2014)
- "Prescriptive analytics"[URL]
- 이공주, "스타일에 따른 웹 문서의 자동 분류", 정보처리학회 논문지, 11(5), pp.555~562 (2004), 한국정보처리학회
- D Bertsimas, "From predictive to prescriptive analytics", Management Science, ~ (2020)
- Bill Vorhies, "Prescriptive versus Predictive Analytics-A Distinction without a Difference?", Predictive Analytics Times, ~ (2014)
- L. Šikšnys, "Encyclopedia of Database Systems", pp.2792~2793 (2018), Springer
- Diaz-Aguilo, Marc Lobo, "Neural network interpolation of the magnetic field for the LISA Pathfinder Diagnostics Subsystem", Experimental astronomy, 30(1) (2011)[DOI]
- D. den Hertog, "Bridging the Gap Between Predictive and Prescriptive Analytics-New Optimization Methodology Needed" (2016), Tilburg Univ
- H. I. Fawaz, "Deep learning for time series classification:A review", Data Mining Knowl. Discovery, 33(4), pp.917~963 (2019)[DOI]
- K. Lepenioti, "Prescriptive analytics: Literature review and research challenges", Int. J. Inf. Manage (2019)[DOI]