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330
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SIGMOD
2007
ACM
192views Database» more  SIGMOD 2007»
16 years 7 months ago
Benchmarking declarative approximate selection predicates
Declarative data quality has been an active research topic. The fundamental principle behind a declarative approach to data quality is the use of declarative statements to realize...
Amit Chandel, Oktie Hassanzadeh, Nick Koudas, Moha...
193
Voted
BMCBI
2007
128views more  BMCBI 2007»
15 years 7 months ago
Model order selection for bio-molecular data clustering
Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically ...
Alberto Bertoni, Giorgio Valentini
BNCOD
2008
143views Database» more  BNCOD 2008»
15 years 9 months ago
Reconciling Inconsistent Data in Probabilistic XML Data Integration
Abstract. The problem of dealing with inconsistent data while integrating XML data from different sources is an important task, necessary to improve data integration quality. Typic...
Tadeusz Pankowski
232
Voted
ICDM
2007
IEEE
145views Data Mining» more  ICDM 2007»
16 years 1 months ago
Using Data Mining to Estimate Missing Sensor Data
Estimating missing sensor values is an inherent problem in sensor network applications; however, existing data estimation approaches do not apply well to the context of datastream...
Le Gruenwald, Hamed Chok, Mazen Aboukhamis
BMCBI
2010
84views more  BMCBI 2010»
15 years 7 months ago
Testing the additional predictive value of high-dimensional molecular data
Background: While high-dimensional molecular data such as microarray gene expression data have been used for disease outcome prediction or diagnosis purposes for about ten years i...
Anne-Laure Boulesteix, Torsten Hothorn