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» A Perspective on Inductive Databases
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ICDT
2010
ACM
193views Database» more  ICDT 2010»
13 years 10 months ago
Data correspondence, exchange and repair
Checking the correspondence between two or more database instances and enforcing it is a procedure widely used in practice without however having been explored from a theoretical ...
Gösta Grahne, Adrian Onet
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
14 years 8 months ago
Cross domain distribution adaptation via kernel mapping
When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
ErHeng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiang...
KDD
2004
ACM
196views Data Mining» more  KDD 2004»
14 years 8 months ago
Adversarial classification
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...
KDD
2002
ACM
127views Data Mining» more  KDD 2002»
14 years 8 months ago
Mining knowledge-sharing sites for viral marketing
Viral marketing takes advantage of networks of influence among customers to inexpensively achieve large changes in behavior. Our research seeks to put it on a firmer footing by mi...
Matthew Richardson, Pedro Domingos
VLDB
2007
ACM
115views Database» more  VLDB 2007»
14 years 7 months ago
Context-Aware Wrapping: Synchronized Data Extraction
The deep Web presents a pressing need for integrating large numbers of dynamically evolving data sources. To be more automatic yet accurate in building an integration system, we o...
Shui-Lung Chuang, Kevin Chen-Chuan Chang, ChengXia...