Jae-Gil Lee
Jae-Gil Lee
Associate Professor, School of Computing, KAIST
Vahvistettu sähköpostiosoite verkkotunnuksessa kaist.ac.kr - Kotisivu
Trajectory clustering: a partition-and-group framework
JG Lee, J Han, KY Whang
Proceedings of the 2007 ACM SIGMOD international conference on Management of …, 2007
Trajectory outlier detection: A partition-and-detect framework
JG Lee, J Han, X Li
2008 IEEE 24th International Conference on Data Engineering, 140-149, 2008
TraClass: trajectory classification using hierarchical region-based and trajectory-based clustering
JG Lee, J Han, X Li, H Gonzalez
Proceedings of the VLDB Endowment 1 (1), 1081-1094, 2008
Geospatial big data: challenges and opportunities
JG Lee, M Kang
Big Data Research 2 (2), 74-81, 2015
Traffic density-based discovery of hot routes in road networks
X Li, J Han, JG Lee, H Gonzalez
International Symposium on Spatial and Temporal Databases, 441-459, 2007
Incremental clustering for trajectories
Z Li, JG Lee, X Li, J Han
International Conference on Database Systems for Advanced Applications, 32-46, 2010
Temporal outlier detection in vehicle traffic data
X Li, Z Li, J Han, JG Lee
2009 IEEE 25th International Conference on Data Engineering, 1319-1322, 2009
Movemine: Mining moving object data for discovery of animal movement patterns
Z Li, J Han, M Ji, LA Tang, Y Yu, B Ding, JG Lee, R Kays
ACM Transactions on Intelligent Systems and Technology (TIST) 2 (4), 1-32, 2011
Movemine: Mining moving object databases
Z Li, M Ji, JG Lee, LA Tang, Y Yu, J Han, R Kays
Proceedings of the 2010 ACM SIGMOD International Conference on Management of …, 2010
n-gram/2l: A space and time efficient two-level n-gram inverted index structure
MS Kim, KY Whang, JG Lee, MJ Lee
Proceedings of the 31st international conference on Very large data bases …, 2005
Community detection in multi-layer graphs: A survey
J Kim, JG Lee
ACM SIGMOD Record 44 (3), 37-48, 2015
Mining discriminative patterns for classifying trajectories on road networks
JG Lee, J Han, X Li, H Cheng
IEEE Transactions on Knowledge and Data Engineering 23 (5), 713-726, 2010
Learning from noisy labels with deep neural networks: A survey
H Song, M Kim, D Park, Y Shin, JG Lee
arXiv preprint arXiv:2007.08199, 2020
LinkSCAN*: Overlapping community detection using the link-space transformation
S Lim, S Ryu, S Kwon, K Jung, JG Lee
2014 IEEE 30th international conference on data engineering, 292-303, 2014
Selfie: Refurbishing unclean samples for robust deep learning
H Song, M Kim, JG Lee
International Conference on Machine Learning, 5907-5915, 2019
Continuous query processing in data streams using duality of data and queries
HS Lim, JG Lee, MJ Lee, KY Whang, IY Song
Proceedings of the 2006 ACM SIGMOD international conference on Management of …, 2006
An overview of clustering methods in geographic data analysis
J Han, JG Lee, M Kamber
Geographic data mining and knowledge discovery 2, 149-170, 2009
Facilitating developer-user interactions with mobile app review digests
J Oh, D Kim, U Lee, JG Lee, J Song
CHI'13 Extended Abstracts on Human Factors in Computing Systems, 1809-1814, 2013
Sampling cube: a framework for statistical olap over sampling data
X Li, J Han, Z Yin, JG Lee, Y Sun
Proceedings of the 2008 ACM SIGMOD international conference on Management of …, 2008
Odysseus: a high-performance ORDBMS tightly-coupled with IR features
KY Whang, MJ Lee, JG Lee, MS Kim, WS Han
21st International Conference on Data Engineering (ICDE'05), 1104-1105, 2005
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Artikkelit 1–20