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» Modeling Relational Data by the Adjacency Model
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VLDB
2005
ACM
139views Database» more  VLDB 2005»
16 years 1 days ago
Statistical Learning Techniques for Costing XML Queries
Developing cost models for query optimization is significantly harder for XML queries than for traditional relational queries. The reason is that XML query operators are much mor...
Ning Zhang 0002, Peter J. Haas, Vanja Josifovski, ...
SAC
2009
ACM
16 years 1 months ago
Applying latent dirichlet allocation to group discovery in large graphs
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
Keith Henderson, Tina Eliassi-Rad
ML
2010
ACM
151views Machine Learning» more  ML 2010»
15 years 5 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
ICDE
2009
IEEE
155views Database» more  ICDE 2009»
16 years 1 months ago
Join Optimization of Information Extraction Output: Quality Matters!
— Information extraction (IE) systems are trained to extract specific relations from text databases. Real-world applications often require that the output of multiple IE systems...
Alpa Jain, Panagiotis G. Ipeirotis, AnHai Doan, Lu...
ICDE
1992
IEEE
126views Database» more  ICDE 1992»
15 years 10 months ago
Logical Database Design with Inclusion Dependencies
Contrary to popular belief, relation schemes in good classical normal forms are not necessarily devoid of redundancies. This arises from the fact that classical data dependencies ...
Tok Wang Ling, Cheng Hian Goh