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Lim, Sunghoon (임성훈)

Department
Department of Industrial Engineering(산업공학과)
Website
http://sunghoonlim.unist.ac.kr
Lab
Unstructured Data Mining and Machine Learning Lab. (비정형 데이터마이닝 및 기계학습 연구실)
Research Keywords
기계학습, 인공지능, 비정형데이터마이닝, Artificial Intelligence (AI), Unstructured Data Mining, Machine Learning
Research Interests
Research at Unstructured Data Mining and Machine Learning Laboratory"Development of machine learning models for effective knowledge discovery from unstructured data" TopicsMachine Learning / Deep Learning(Unstructured) Data MiningIndustrial Artificial Intelligence (AI+X)Text MiningSocial Network Analysis / CrowdsourcingApplicationsSafety Management (e.g., Car Crash Detection)Manufacturing (e.g., Predictive Maintenance, Anomaly Detection, 3D Printing)Customer Feedback Analysis Using Online Data (e.g., Social Media, Online Customer Reviews, Recommender Systems)Healthcare (e.g., Disease Discovery)etc.
This table browses all dspace content
Issue DateTitleAuthor(s)TypeViewAltmetrics
2020-10A Comparative Performance Evaluation of Classification Algorithms for Clinical Decision Support SystemsTama, Bayu Adhi; Lim, SunghoonARTICLE36 A Comparative Performance Evaluation of Classification Algorithms for Clinical Decision Support Systems
2020-05A Multi-Objective Differential Evolutionary Method for Constrained Crowd Judgment AnalysisChatterjee, Sujoy; Lim, SunghoonARTICLE125 A Multi-Objective Differential Evolutionary Method for Constrained Crowd Judgment Analysis
2019-09Mining Twitter data for causal links between tweets and real-world outcomesLim, Sunghoon; Tucker, Conrad S.ARTICLE343 Mining Twitter data for causal links between tweets and real-world outcomes
2018-09A semantic network model for measuring engagement and performance in online learning platformsLim, Sunghoon; Tucker, Conrad S.; Jablokow, Kathryn, et alARTICLE483 A semantic network model for measuring engagement and performance in online learning platforms
2018-06Automated Discovery of Product Feature Inferences Within Large-Scale Implicit Social Media DataTuarob, Suppawong; Lim, Sunghoon; Tucker, Conrad S.ARTICLE438 Automated Discovery of Product Feature Inferences Within Large-Scale Implicit Social Media Data
2017-11Mitigating Online Product Rating Biases Through the Discovery of Optimistic, Pessimistic, and Realistic ReviewersLim, Sunghoon; Tucker, Conrad S.ARTICLE462 Mitigating Online Product Rating Biases Through the Discovery of Optimistic, Pessimistic, and Realistic Reviewers
2017-02An unsupervised machine learning model for discovering latent infectious diseases using social media dataLim, Sunghoon; Tucker, Conrad S.; Kumara, SoundarARTICLE429 An unsupervised machine learning model for discovering latent infectious diseases using social media data
2016-06A Bayesian Sampling Method for Product Feature Extraction From Large-Scale Textual DataLim, Sunghoon; Tucker, Conrad S.ARTICLE437 A Bayesian Sampling Method for Product Feature Extraction From Large-Scale Textual Data
2011-12Optimizing Zone-dependent Two-level Facility Location ProblemLim, Sunghoon; Sung, Chang-Sup; Song, Sang HwaARTICLE392

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