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» Detecting Inconsistencies in Distributed Data
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CIKM
2010
Springer
13 years 7 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
APGV
2010
ACM
227views Visualization» more  APGV 2010»
14 years 20 days ago
Measuring the perception of light inconsistencies
In this paper we explore the ability of the human visual system to detect inconsistencies in the illumination of objects in images. We specifically focus on objects being lit fro...
Jorge Lopez-Moreno, Veronica Sundstedt, Francisco ...
BMCBI
2007
129views more  BMCBI 2007»
13 years 9 months ago
Exploring inconsistencies in genome-wide protein function annotations: a machine learning approach
Background: Incorrectly annotated sequence data are becoming more commonplace as databases increasingly rely on automated techniques for annotation. Hence, there is an urgent need...
Carson M. Andorf, Drena Dobbs, Vasant Honavar
CP
2007
Springer
14 years 2 months ago
Exploiting Past and Future: Pruning by Inconsistent Partial State Dominance
It has recently been shown, for the Constraint Satisfaction Problem (CSP), that the state associated with a node of the search tree built by a backtracking algorithm can be exploit...
Christophe Lecoutre, Lakhdar Sais, Sébastie...
WDAG
2004
Springer
113views Algorithms» more  WDAG 2004»
14 years 2 months ago
Bounded Version Vectors
Abstract. Version vectors play a central role in update tracking under optimistic distributed systems, allowing the detection of obsolete or inconsistent versions of replicated dat...
José Bacelar Almeida, Paulo Sérgio A...