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» Normalizing Incomplete Databases
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PODS
1995
ACM
139views Database» more  PODS 1995»
13 years 8 months ago
Normalizing Incomplete Databases
Databases are often incomplete because of the presence of disjunctive information, due to con icts, partial knowledge and other reasons. Queries against such databases often ask q...
Leonid Libkin
WOLLIC
2010
Springer
13 years 10 months ago
On the Role of the Complementation Rule for Data Dependencies over Incomplete Relations
Recently, an axiomatization for functional dependencies (FDs) and multivalued dependencies (MVDs) has been established where arbitrary attributes can be specified as NOT NULL. Tha...
Flavio Ferrarotti, Sven Hartmann, Sebastian Link
KDD
2012
ACM
238views Data Mining» more  KDD 2012»
11 years 7 months ago
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A....
PODS
2001
ACM
109views Database» more  PODS 2001»
14 years 5 months ago
Representing and Querying XML with Incomplete Information
Serge Abiteboul, Luc Segoufin, Victor Vianu
MA
2010
Springer
114views Communications» more  MA 2010»
13 years 3 months ago
Finite-sample inference with monotone incomplete multivariate normal data, II
We continue our recent work on finite-sample, i.e., non-asymptotic, inference with two-step, monotone incomplete data from Nd(µ, Σ), a multivariate normal population with mean ...
Wan-Ying Chang, Donald St. P. Richards