Guozhu Dong

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Jinyan LiDistinguished Professor, 深圳理工大学；Adjunct Professor, University of Technology SydneyAdresse e-mail validée de uts.edu.au
Jian PeiArthur S. Pearse Distinguished Professor, Duke UniversityAdresse e-mail validée de cs.sfu.ca
Jiawei HanAbel Bliss Professor of Computer Science, University of IllinoisAdresse e-mail validée de cs.uiuc.edu
James BaileyProfessor, School of Computing and Information Systems, University of MelbourneAdresse e-mail validée de unimelb.edu.au
Jianwen SuProfessor of Computer Science, University of California at Santa BarbaraAdresse e-mail validée de cs.ucsb.edu
Benjamin W. WahChinese University of Hong KongAdresse e-mail validée de illinois.edu
Yixin ChenProfessor of Computer Science, Washington UniversityAdresse e-mail validée de cse.wustl.edu
Lei DuanSichuan UniversityAdresse e-mail validée de scu.edu.cn
Ke WangProfessor of Computing Science, Simon Fraser UniversityAdresse e-mail validée de cs.sfu.ca
Leonid LibkinProfessor of Computer Science, University of EdinburghAdresse e-mail validée de inf.ed.ac.uk
Vahid TaslimitehraniStaff Machine Learning Scientist at MetaAdresse e-mail validée de meta.com
Chaoyi PangZhejiang University, NITAdresse e-mail validée de nit.zju.edu.cn
Michael BenediktProfessor of Computer Science, Oxford UniversityAdresse e-mail validée de cs.ox.ac.uk
Mengling 'Mornin' FengNational University of SingaporeAdresse e-mail validée de nus.edu.sg
Jeffrey Xu YuChinese University of Hong KongAdresse e-mail validée de se.cuhk.edu.hk
Behzad GhanbarianAssociate Professor, Department of Earth & Environmental Sciences, University of Texas at ArlingtonAdresse e-mail validée de uta.edu
Pachepsky YUSDA-ARSAdresse e-mail validée de ars.usda.gov
Zhengzheng XingSenior Manager, Qualtrics | Ex AmazonAdresse e-mail validée de amazon.com
Limsoon Wong 黄任祥KITHCT Professor of Computer Science & Professor of Pathology, National University of SingaporeAdresse e-mail validée de comp.nus.edu.sg
Hemant PurohitAssociate Professor, School of Computing, George Mason UniversityAdresse e-mail validée de gmu.edu

Suivre

Guozhu Dong

Professor, Computer Science, Wright State University

Adresse e-mail validée de wright.edu - Page d'accueil

data mining machine learning database bioinformatics data science


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Efficient mining of emerging patterns: Discovering trends and differences G Dong, J Li Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999	1534	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	929	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	585	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	399	2007
Feature engineering for machine learning and data analytics G Dong, H Liu CRC press, 2018	369	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	236	2007
Mining minimal distinguishing subsequence patterns with gap constraints X Ji, J Bailey, G Dong Knowledge and Information Systems 11 (3), 259-286, 2007	236	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	236	2005
Contrast Data Mining: Concepts, Algorithms, and Applications G Dong, J Bailey Chapman & Hall, 2012	187	2012
Contrast data mining: concepts, algorithms, and applications G DONG, J BAILEY CRC/Taylor and Francis, 2012	187	2012
Mining border descriptions of emerging patterns from dataset pairs G Dong, J Li Knowledge and Information Systems 8, 178-202, 2005	183	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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