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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 8 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
SIGMOD
2009
ACM
192views Database» more  SIGMOD 2009»
14 years 7 months ago
A gauss function based approach for unbalanced ontology matching
Ontology matching, aiming to obtain semantic correspondences between two ontologies, has played a key role in data exchange, data integration and metadata management. Among numero...
Qian Zhong, Hanyu Li, Juanzi Li, Guo Tong Xie, Jie...
SIGMOD
2009
ACM
177views Database» more  SIGMOD 2009»
14 years 7 months ago
Exploiting context analysis for combining multiple entity resolution systems
Entity Resolution (ER) is an important real world problem that has attracted significant research interest over the past few years. It deals with determining which object descript...
Zhaoqi Chen, Dmitri V. Kalashnikov, Sharad Mehrotr...
SIGMOD
2008
ACM
116views Database» more  SIGMOD 2008»
14 years 7 months ago
SPADE: the system s declarative stream processing engine
In this paper, we present Spade - the System S declarative stream processing engine. System S is a large-scale, distributed data stream processing middleware under development at ...
Bugra Gedik, Henrique Andrade, Kun-Lung Wu, Philip...
SIGMOD
2008
ACM
95views Database» more  SIGMOD 2008»
14 years 7 months ago
Interactive generation of integrated schemas
Schema integration is the problem of creating a unified target schema based on a set of existing source schemas that relate to each other via specified correspondences. The unifie...
Laura Chiticariu, Phokion G. Kolaitis, Lucian Popa