Guozhu Dong

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Jinyan LiBioinformatics Lab Director, Professor of Data Science, University of Technology SydneyVerified email at uts.edu.au
Jian PeiProfessor of Computing Science, Simon Fraser UniversityVerified email at cs.sfu.ca
Jiawei HanAbel Bliss Professor of Computer Science, University of IllinoisVerified email at cs.uiuc.edu
Jianwen SuProfessor of Computer Science, University of California at Santa BarbaraVerified email at cs.ucsb.edu
James BaileyProfessor, School of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Benjamin W. WahChinese University of Hong KongVerified email at illinois.edu
Yixin ChenProfessor, Computer Science Department, Washington UniversityVerified email at cse.wustl.edu
Xiuzhen (Jenny) ZhangProfessor, School of Computing Technologies, RMIT University, AustraliaVerified email at rmit.edu.au
Ke WangProfessor of Computing Science, Simon Fraser UniversityVerified email at cs.sfu.ca
Lei DuanSichuan UniversityVerified email at scu.edu.cn
Leonid LibkinProfessor of Computer Science, University of EdinburghVerified email at inf.ed.ac.uk
Vahid TaslimitehraniStaff Machine Learning Scientist at Realtor.comVerified email at physiosigns.com
Qing LiChair Professor (Data Science), the Hong Kong Polytechnic UniversityVerified email at comp.polyu.edu.hk
Michael BenediktProfessor of Computer Science, Oxford UniversityVerified email at cs.ox.ac.uk
Chaoyi PangZhejiang University, NITVerified email at nit.zju.edu.cn
Mengling 'Mornin' FengNational University of SingaporeVerified email at nus.edu.sg
Jeffrey Xu YuChinese University of Hong KongVerified email at se.cuhk.edu.hk
Behzad GhanbarianAssistant Professor of Engineering Geology, Department of Geology, Kansas State UniversityVerified email at ksu.edu
Pachepsky YUSDA-ARSVerified email at ars.usda.gov
Limsoon Wong 黄任祥KITHCT Professor of Computer Science & Professor of Pathology, National University of SingaporeVerified email at comp.nus.edu.sg

Guozhu Dong

Professor, Computer Science, Wright State University

Verified email at wright.edu - Homepage

data mining machine learning database bioinformatics data science


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Efficient mining of emerging patterns: Discovering trends and differences G Dong, J Li Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999	1441	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	885	1999
CAEP: Classification by aggregating emerging patterns G Dong, X Zhang, L Wong, J Li International Conference on Discovery Science, 30-42, 1999	556	1999
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	443	2002
Sequence Data Mining G Dong, J Pei Springer US, 2007	362	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	341	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	232	2005
Mining minimal distinguishing subsequence patterns with gap constraints X Ji, J Bailey, G Dong Knowledge and Information Systems 11 (3), 259-286, 2007	216	2007
Mining minimal distinguishing subsequence patterns with gap constraints X Ji, J Bailey, G Dong Knowledge and Information Systems 11 (3), 259-286, 2007	216	2007
Mining minimal distinguishing subsequence patterns with gap constraints X Ji, J Bailey, G Dong Knowledge and Information Systems 11 (3), 259-286, 2007	216	2007
Mining minimal distinguishing subsequence patterns with gap constraints X Ji, J Bailey, G Dong Knowledge and Information Systems 11 (3), 259-286, 2007	216	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	216	2005
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	180	1998
Mining border descriptions of emerging patterns from dataset pairs G Dong, J Li Knowledge and Information Systems 8 (2), 178-202, 2005	178	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	166	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	166	1998
Contrast Data Mining: Concepts, Algorithms, and Applications G Dong, J Bailey Chapman & Hall, 2012	155	2012
Contrast data mining: concepts, algorithms, and applications G DONG, J BAILEY CRC/Taylor and Francis, 2012	155	2012
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	155	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	153	2003

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