Guozhu Dong

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Jinyan LiDistinguished Professor, 深圳理工大学；Adjunct Professor, University of Technology SydneyVerified email at uts.edu.au
Jian PeiArthur S. Pearse Distinguished Professor, Duke UniversityVerified email at cs.sfu.ca
Jiawei HanAbel Bliss Professor of Computer Science, University of IllinoisVerified email at cs.uiuc.edu
James BaileyProfessor, School of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Jianwen SuProfessor of Computer Science, University of California at Santa BarbaraVerified email at cs.ucsb.edu
Benjamin W. WahChinese University of Hong KongVerified email at illinois.edu
Yixin ChenProfessor of Computer Science, Washington UniversityVerified email at cse.wustl.edu
Lei DuanSichuan UniversityVerified email at scu.edu.cn
Ke WangProfessor of Computing Science, Simon Fraser UniversityVerified email at cs.sfu.ca
Leonid LibkinProfessor of Computer Science, University of EdinburghVerified email at inf.ed.ac.uk
Vahid TaslimitehraniStaff Machine Learning Scientist at MetaVerified email at meta.com
Chaoyi PangZhejiang University, NITVerified email at nit.zju.edu.cn
Michael BenediktProfessor of Computer Science, Oxford UniversityVerified email at cs.ox.ac.uk
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 GhanbarianAssociate Professor, Department of Earth & Environmental Sciences, University of Texas at ArlingtonVerified email at uta.edu
Pachepsky YUSDA-ARSVerified email at ars.usda.gov
Zhengzheng XingSenior Manager, Qualtrics | Ex AmazonVerified email at amazon.com
Limsoon Wong 黄任祥KITHCT Professor of Computer Science & Professor of Pathology, National University of SingaporeVerified email at comp.nus.edu.sg
Hemant PurohitAssociate Professor, School of Computing, George Mason UniversityVerified email at gmu.edu

Guozhu Dong

Professor, Computer Science, Wright State University

Verified email at wright.edu - Homepage

data mining machine learning database bioinformatics data science


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Efficient mining of emerging patterns: Discovering trends and differences G Dong, J Li Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999	1532	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	926	1999
CAEP: Classification by aggregating emerging patterns G Dong, X Zhang, L Wong, J Li Discovery Science: Second International Conference, DS’99 Tokyo, Japan …, 1999	584	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	466	2002
Sequence Data Mining G Dong, J Pei Springer US, 2007	395	2007
Feature engineering for machine learning and data analytics G Dong, H Liu CRC press, 2018	359	2018
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	357	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, 173-197, 2005	240	2005
Mining minimal distinguishing subsequence patterns with gap constraints X Ji, J Bailey, G Dong Knowledge and Information Systems 11 (3), 259-286, 2007	235	2007
Mining minimal distinguishing subsequence patterns with gap constraints X Ji, J Bailey, G Dong Knowledge and Information Systems 11 (3), 259-286, 2007	235	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	235	2005
Contrast Data Mining: Concepts, Algorithms, and Applications G Dong, J Bailey Chapman & Hall, 2012	186	2012
Contrast data mining: concepts, algorithms, and applications G DONG, J BAILEY CRC/Taylor and Francis, 2012	186	2012
Mining border descriptions of emerging patterns from dataset pairs G Dong, J Li Knowledge and Information Systems 8, 178-202, 2005	182	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
Deeps: A new instance-based lazy discovery and classification system J Li, G Dong, K Ramamohanarao, L Wong Machine learning 54, 99-124, 2004	178	2004
Interestingness of discovered association rules in terms of neighborhood-based unexpectedness G Dong, J Li Research and Development in Knowledge Discovery and Data Mining: Second …, 1998	171	1998
Making use of the most expressive jumping emerging patterns for classification J Li, G Dong, K Ramamohanarao Knowledge and Information systems 3, 131-145, 2001	161	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	158	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	123	1999

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