| Efficient mining of emerging patterns: Discovering trends and differences G Dong, J Li Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999 | 1558 | 1999 |
| Efficient mining of partial periodic patterns in time series database J Han, G Dong, Y Yin Proceedings 15th International Conference on Data Engineering (Cat. No …, 1999 | 936 | 1999 |
| CAEP: Classification by aggregating emerging patterns G Dong, X Zhang, L Wong, J Li International Conference on Discovery Science, 30-42, 1999 | 587 | 1999 |
| Feature engineering for machine learning and data analytics G Dong, H Liu CRC press, 2018 | 506 | 2018 |
| Multi-dimensional regression analysis of time-series data streams Y Chen, G Dong, J Han, BW Wah, J Wang VLDB'02: Proceedings of the 28th International Conference on Very Large …, 2002 | 476 | 2002 |
| Sequence Data Mining G Dong, J Pei Springer US, 2007 | 413 | 2007 |
| Efficient computation of iceberg cubes with complex measures J Han, J Pei, G Dong, K Wang Proceedings of the 2001 ACM SIGMOD international conference on Management of …, 2001 | 362 | 2001 |
| Stream cube: An architecture for multi-dimensional analysis of data streams J Han, Y Chen, G Dong, J Pei, BW Wah, J Wang, YD Cai Distributed and Parallel Databases 18 (2), 173-197, 2005 | 248 | 2005 |
| Mining minimal distinguishing subsequence patterns with gap constraints X Ji, J Bailey, G Dong Knowledge and Information Systems 11 (3), 259-286, 2007 | 238 | 2007 |
| Mining minimal distinguishing subsequence patterns with gap constraints X Ji, J Bailey, G Dong Knowledge and Information Systems 11 (3), 259-286, 2007 | 238 | 2007 |
| Mining minimal distinguishing subsequence patterns with gap constraints X Ji, J Bailey, G Dong Data Mining, Fifth IEEE International Conference on, 8 pp., 2005 | 238 | 2005 |
| Contrast Data Mining: Concepts, Algorithms, and Applications G Dong, J Bailey Chapman & Hall, 2012 | 197 | 2012 |
| Contrast data mining: concepts, algorithms, and applications G DONG, J BAILEY CRC/Taylor and Francis, 2012 | 197 | 2012 |
| Relational expressive power of constraint query languages M Benedikt, G Dong, L Libkin, L Wong Journal of the ACM (JACM) 45 (1), 1-34, 1998 | 197 | 1998 |
| Mining border descriptions of emerging patterns from dataset pairs G Dong, J Li Knowledge and Information Systems 8 (2), 178-202, 2005 | 192 | 2005 |
| Deeps: A new instance-based lazy discovery and classification system J Li, G Dong, K Ramamohanarao, L Wong Machine learning 54 (2), 99-124, 2004 | 182 | 2004 |
| Interestingness of discovered association rules in terms of neighborhood-based unexpectedness G Dong, J Li Pacific-Asia Conference on Knowledge Discovery and Data Mining, 72-86, 1998 | 174 | 1998 |
| Making use of the most expressive jumping emerging patterns for classification J Li, G Dong, K Ramamohanarao Knowledge and Information systems 3 (2), 131-145, 2001 | 164 | 2001 |
| Online mining of changes from data streams: Research problems and preliminary results G Dong, J Han, LVS Lakshmanan, J Pei, H Wang, PS Yu Proceedings of the 2003 ACM SIGMOD Workshop on Management and Processing of …, 2003 | 157 | 2003 |
| Declarative workflows that support easy modification and dynamic browsing R Hull, F Llirbat, E Siman, J Su, G Dong, B Kumar, G Zhou ACM SIGSOFT Software Engineering Notes 24 (2), 69-78, 1999 | 121 | 1999 |
Jinyan LiDistinguished Professor, 深圳理工大学；Adjunct Professor, University of Technology SydneyVerified email at uts.edu.au
