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Kim, Sungil (김성일)

Department
School of Management Engineering(경영공학부)
Research Interests
Business Analytics, Data mining and machine learning, Spatial statistics, Design of experiments, Robust parameter design, Uncertainty quantication, Demand forecasting, Predictive analytics, Hierarchical modeling
Lab
Data Analytics Lab
E-Mail
sungil.kim@unist.ac.kr
Website
http://analytics.unist.ac.kr
This table browses all dspace content
Issue DateTitleAuthor(s)TypeViewAltmetrics
201703An integrated holistic model of a complex processKim, Heeyoung; Kim, Sungil; Deng, Jianxin, et alARTICLE416 An integrated holistic model of a complex process
201702Early detection of vessel delays using combined historical and real-time informationKim, Sungil; Kim, Heeyoung; Park, YongroARTICLE439 Early detection of vessel delays using combined historical and real-time information
201701Batch Sequential Minimum Energy Design with Design-Region AdaptationKim, Heeyoung; Vastola, Justin T.; Kim, Sungil, et alARTICLE136
201701Incorporation of engineering knowledge into the modeling process: a local approachKim, Heeyoung; Vastola, Justin T.; Kim, Sungil, et alARTICLE99 Incorporation of engineering knowledge into the modeling process: a local approach
201609Ordinal Classification of Imbalanced Data with Application in Emergency and Disaster Information ServicesKim, Sungil; Kim, Heeyoung; Namkoong, YounghwanARTICLE357 Ordinal Classification of Imbalanced Data with Application in Emergency and Disaster Information Services
201607A new metric of absolute percentage error for intermittent demand forecastsKim, Sungil; Kim, HeeyoungARTICLE335 A new metric of absolute percentage error for intermittent demand forecasts
201509Adaptive combined space-filling and D-optimal designsKim, Sungil; Kim, Heeyoung; Lu, Richard W., et alARTICLE234 Adaptive combined space-filling and D-optimal designs
201503Layers of Experiments with Adaptive Combined DesignKim, Sungil; Kim, Heeyoung; Lu, Jye-Chyi, et alARTICLE253 Layers of Experiments with Adaptive Combined Design
201203Optimization of a Carbon Dioxide-Assisted Nanoparticle Deposition Process Using Sequential Experimental Design with Adaptive Design SpaceCasciato, Michael J.; Kim, Sungil; Lu, J. C., et alARTICLE243 Optimization of a Carbon Dioxide-Assisted Nanoparticle Deposition Process Using Sequential Experimental Design with Adaptive Design Space
200512A time prediction model of cursor movement with path constraintsHong, SeungKweon; Kim, SungilARTICLE270

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