| Democratizing data science through interactive curation of ml pipelines Z Shang, E Zgraggen, B Buratti, F Kossmann, P Eichmann, Y Chung, ... Proceedings of the 2019 international conference on management of data, 1171 …, 2019 | 71 | 2019 |
| Slice finder: Automated data slicing for model validation Y Chung, T Kraska, N Polyzotis, KH Tae, SE Whang 2019 IEEE 35th International Conference on Data Engineering (ICDE), 1550-1553, 2019 | 62* | 2019 |
| Game bot detection approach based on behavior analysis and consideration of various play styles Y Chung, C Park, N Kim, H Cho, T Yoon, H Lee, JH Lee ETRI Journal 35 (6), 1058-1067, 2013 | 45* | 2013 |
| Automated Data Slicing for Model Validation: A Big data-AI Integration Approach Y Chung, T Kraska, N Polyzotis, K Tae, SE Whang IEEE Transactions on Knowledge and Data Engineering, 2019 | 32* | 2019 |
| Estimating the impact of unknown unknowns on aggregate query results Y Chung, ML Mortensen, C Binnig, T Kraska ACM Transactions on Database Systems (TODS) 43 (1), 3, 2018 | 30 | 2018 |
| Estimating the impact of unknown unknowns on aggregate query results Y Chung, ML Mortensen, C Binnig, T Kraska ACM SIGMOD, 861-876, 2016 | 30 | 2016 |
| Unknown examples & machine learning model generalization Y Chung, PJ Haas, E Upfal, T Kraska arXiv preprint arXiv:1808.08294, 2018 | 28 | 2018 |
| A Data Quality Metric (DQM): How to Estimate The Number of Undetected Errors in Data Sets Y Chung, S Krishnan, T Kraska VLDB 10 (10), 1094-1105, 2017 | 24 | 2017 |
| Sentiment Analysis Using News Comments for Public Opinion Mining H Cho, Y Chung, JD Lee, JH Lee KIIS 2013 23 (1), 149-150, 2013 | 15* | 2013 |
| Towards interactive curation & automatic tuning of ml pipelines C Binnig, B Buratti, Y Chung, C Cousins, T Kraska, Z Shang, E Upfal, ... Proceedings of the Second Workshop on Data Management for End-To-End Machine …, 2018 | 13 | 2018 |
| Personalized expert-based recommender system: training C-SVM for personalized expert identification Y Chung, HW Jung, J Kim, JH Lee MLDM 2013, 434-441, 2013 | 12* | 2013 |
| Semi-supervised learning for sentiment analysis in mass social media S Hong, Y Chung, JH Lee Journal of Korean Institute of Intelligent Systems 24 (5), 482-488, 2014 | 11 | 2014 |
| Improved neighborhood search for collaborative filtering Y Chung, N Kim, C Park, JH Lee International Journal of Fuzzy Logic and Intelligent Systems 18 (1), 29-40, 2018 | 8 | 2018 |
| Towards Quantifying Uncertainty in Data Analysis & Exploration Y Chung, S Servan-Schreiber, E Zgraggen, T Kraska IEEE Data Engineering Bulletin, 2018 | 7 | 2018 |
| Using RDMA for Lock Management Y Chung, E Zamanian arXiv preprint arXiv:1507.03274, 2015 | 6 | 2015 |
| Towards interactive data exploration C Binnig, F Basık, B Buratti, U Cetintemel, Y Chung, A Crotty, C Cousins, ... Real-Time Business Intelligence and Analytics, 177-190, 2015 | 5 | 2015 |
| TV program recommendation method using LDA clustering C Park, Y Chung, N Kim, J Lee Proceedings of the Korea Information Processing Society Conference, 272-274, 2013 | 2 | 2013 |
| Torrent Crawler: a tool for collecting information from BitTorrent networks Y Chung Master of Engineering project, Cornell University (Advisor: Bernard Wong and …, 2009 | 2 | 2009 |
| Distributed Twitter Opinion Mining System Using MongoDB Aggregation Framework Y Chung, S Hong, JH Lee HCI Korea 2014, 461-464, 2014 | 1* | 2014 |
| BitTorrent Network Traffic Analysis for Peer Link Prediction Y Chung, N Kim, JH Lee Proceedings of the Korea Information Processing Society Conference, 187-188, 2013 | | 2013 |
Tim KraskaMITVerified email at mit.edu
