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Guozhu Dong
Guozhu Dong
Professor, Computer Science, Wright State University
Подтвержден адрес электронной почты в домене wright.edu - Главная страница
Название
Процитировано
Процитировано
Год
Efficient mining of emerging patterns: Discovering trends and differences
G Dong, J Li
Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999
15341999
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
9291999
CAEP: Classification by aggregating emerging patterns
G Dong, X Zhang, L Wong, J Li
Discovery Science: Second International Conference, DS’99 Tokyo, Japan …, 1999
5901999
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
4622002
Feature engineering for machine learning and data analytics
G Dong, H Liu
CRC press, 2018
4132018
Sequence Data Mining
G Dong, J Pei
Springer US, 2007
4072007
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
3572001
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
2462005
Mining minimal distinguishing subsequence patterns with gap constraints
X Ji, J Bailey, G Dong
Knowledge and Information Systems 11 (3), 259-286, 2007
2332007
Mining minimal distinguishing subsequence patterns with gap constraints
X Ji, J Bailey, G Dong
Knowledge and Information Systems 11 (3), 259-286, 2007
2332007
Mining minimal distinguishing subsequence patterns with gap constraints
X Ji, J Bailey, G Dong
Data Mining, Fifth IEEE International Conference on, 8 pp., 2005
2332005
Mining border descriptions of emerging patterns from dataset pairs
G Dong, J Li
Knowledge and Information Systems 8, 178-202, 2005
1852005
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
1841998
Contrast Data Mining: Concepts, Algorithms, and Applications
G Dong, J Bailey
Chapman & Hall, 2012
1832012
Contrast data mining: concepts, algorithms, and applications
G DONG, J BAILEY
CRC/Taylor and Francis, 2012
1832012
Deeps: A new instance-based lazy discovery and classification system
J Li, G Dong, K Ramamohanarao, L Wong
Machine learning 54, 99-124, 2004
1812004
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
1681998
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
1632001
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
1582003
Instance-based classification by emerging patterns
J Li, G Dong, K Ramamohanarao
Principles of Data Mining and Knowledge Discovery, 191-200, 2000
1212000
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Статьи 1–20