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» Practical Preference Relations for Large Data Sets
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PODS
2010
ACM
197views Database» more  PODS 2010»
15 years 6 months ago
When data dependencies over SQL tables meet the logics of paradox and S-3
We study functional and multivalued dependencies over SQL tables with NOT NULL constraints. Under a no-information interpretation of null values we develop tools for reasoning. We...
Sven Hartmann, Sebastian Link
KDD
2004
ACM
207views Data Mining» more  KDD 2004»
16 years 6 months ago
SPIN: mining maximal frequent subgraphs from graph databases
One fundamental challenge for mining recurring subgraphs from semi-structured data sets is the overwhelming abundance of such patterns. In large graph databases, the total number ...
Jun Huan, Wei Wang 0010, Jan Prins, Jiong Yang
SEMWEB
2010
Springer
15 years 3 months ago
An Expressive and Efficient Solution to the Service Selection Problem
Given the large number of Semantic Web Services that can be created from online sources by using existing annotation tools, expressive formalisms and efficient and scalable approac...
Daniel Izquierdo, Maria-Esther Vidal, Blai Bonet
KDD
2010
ACM
214views Data Mining» more  KDD 2010»
15 years 10 months ago
Neighbor query friendly compression of social networks
Compressing social networks can substantially facilitate mining and advanced analysis of large social networks. Preferably, social networks should be compressed in a way that they...
Hossein Maserrat, Jian Pei
CVPR
2009
IEEE
17 years 10 days ago
A Graph-based Approach to Skin Mole Matching Incorporating Template-Normalized Coordinates
Density of moles is a strong predictor of malignant melanoma. Some dermatologists advocate periodic fullbody scan for high-risk patients. In current practice, physicians compare...
Ghassan Hamarneh, Hengameh Mirzaalian, Tim K. Lee