Guozhu Dong

Cituota

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Bendraautoriai

Jinyan LiDistinguished Professor, 深圳理工大学；Adjunct Professor, University of Technology SydneyPatvirtintas el. paštas uts.edu.au
Jian PeiProfessor of Computing Science, Simon Fraser UniversityPatvirtintas el. paštas cs.sfu.ca
Jiawei HanAbel Bliss Professor of Computer Science, University of IllinoisPatvirtintas el. paštas cs.uiuc.edu
James BaileyProfessor, School of Computing and Information Systems, University of MelbournePatvirtintas el. paštas unimelb.edu.au
Jianwen SuProfessor of Computer Science, University of California at Santa BarbaraPatvirtintas el. paštas cs.ucsb.edu
Benjamin W. WahChinese University of Hong KongPatvirtintas el. paštas illinois.edu
Yixin ChenProfessor of Computer Science, Washington University | IEEE FellowPatvirtintas el. paštas cse.wustl.edu
Xiuzhen (Jenny) ZhangProfessor, School of Computing Technologies, RMIT University, AustraliaPatvirtintas el. paštas rmit.edu.au
Lei DuanSichuan UniversityPatvirtintas el. paštas scu.edu.cn
Ke WangProfessor of Computing Science, Simon Fraser UniversityPatvirtintas el. paštas cs.sfu.ca
Leonid LibkinProfessor of Computer Science, University of EdinburghPatvirtintas el. paštas inf.ed.ac.uk
Vahid TaslimitehraniStaff Machine Learning Scientist at MetaPatvirtintas el. paštas meta.com
Qing LiChair Professor (Data Science), the Hong Kong Polytechnic UniversityPatvirtintas el. paštas comp.polyu.edu.hk
Chaoyi PangZhejiang University, NITPatvirtintas el. paštas nit.zju.edu.cn
Michael BenediktProfessor of Computer Science, Oxford UniversityPatvirtintas el. paštas cs.ox.ac.uk
Mengling 'Mornin' FengNational University of SingaporePatvirtintas el. paštas nus.edu.sg
Jeffrey Xu YuChinese University of Hong KongPatvirtintas el. paštas se.cuhk.edu.hk
Behzad GhanbarianAssociate Professor of Multidisciplinary Research, Department of Geology, Kansas State UniversityPatvirtintas el. paštas ksu.edu
Pachepsky YUSDA-ARSPatvirtintas el. paštas ars.usda.gov
Limsoon Wong 黄任祥KITHCT Professor of Computer Science & Professor of Pathology, National University of SingaporePatvirtintas el. paštas comp.nus.edu.sg

Stebėti

Guozhu Dong

Professor, Computer Science, Wright State University

Patvirtintas el. paštas wright.edu - Pagrindinis puslapis

data mining machine learning database bioinformatics data science


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Efficient mining of emerging patterns: Discovering trends and differences G Dong, J Li Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999	1461	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	902	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	570	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	454	2002
Sequence Data Mining G Dong, J Pei Springer US, 2007	374	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	354	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	235	2005
Mining minimal distinguishing subsequence patterns with gap constraints X Ji, J Bailey, G Dong Knowledge and Information Systems 11, 259-286, 2007	225	2007
Mining minimal distinguishing subsequence patterns with gap constraints X Ji, J Bailey, G Dong Knowledge and Information Systems 11, 259-286, 2007	225	2007
Mining minimal distinguishing subsequence patterns with gap constraints X Ji, J Bailey, G Dong Knowledge and Information Systems 11 (3), 259-286, 2007	225	2007
Mining minimal distinguishing subsequence patterns with gap constraints X Ji, J Bailey, G Dong Knowledge and Information Systems 11 (3), 259-286, 2007	225	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	225	2005
Feature engineering for machine learning and data analytics G Dong, H Liu CRC Press, 2018	208	2018
Mining border descriptions of emerging patterns from dataset pairs G Dong, J Li Knowledge and Information Systems 8, 178-202, 2005	180	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	176	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	171	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	165	1998
Contrast Data Mining: Concepts, Algorithms, and Applications G Dong, J Bailey Chapman & Hall, 2012	163	2012
Contrast data mining: concepts, algorithms, and applications G DONG, J BAILEY CRC/Taylor and Francis, 2012	163	2012
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	156	2003

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