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Kim, Sungil (김성일)

Department
School of Management Engineering(경영공학부)
Research Interests
Business analytics, Statistical Quality Control, Anomaly detection, , Data mining and machine learning, Design of experiments, , Robust parameter design, Demand forecasting, Predictive analytics
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 alARTICLE508 An integrated holistic model of a complex process
201702Early detection of vessel delays using combined historical and real-time informationKim, Sungil; Kim, Heeyoung; Park, YongroARTICLE540 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 alARTICLE215
2017Incorporation of engineering knowledge into the modeling process: a local approachKim, Heeyoung; Vastola, Justin T.; Kim, Sungil, et alARTICLE178 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, YounghwanARTICLE447 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, HeeyoungARTICLE438 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 alARTICLE300 Adaptive combined space-filling and D-optimal designs
201503Layers of Experiments with Adaptive Combined DesignKim, Sungil; Kim, Heeyoung; Lu, Jye-Chyi, et alARTICLE304 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 alARTICLE341 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, SungilARTICLE320

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