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» Detecting Inconsistencies in Distributed Data
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NN
1998
Springer
148views Neural Networks» more  NN 1998»
13 years 8 months ago
ARTMAP-IC and medical diagnosis: Instance counting and inconsistent cases
For complex database prediction problems such as medical diagnosis, the ARTMAP-IC neural network adds distributed prediction and category instance counting to the basic fuzzy ARTM...
Gail A. Carpenter, Natalya Markuzon
SEMWEB
2007
Springer
14 years 2 months ago
Scalable Cleanup of Information Extraction Data Using Ontologies
Abstract. The approach of using ontology reasoning to cleanse the output of information extraction tools was first articulated in SemantiClean. A limiting factor in applying this ...
Julian Dolby, James Fan, Achille Fokoue, Aditya Ka...
CIDR
2009
133views Algorithms» more  CIDR 2009»
13 years 10 months ago
Principles for Inconsistency
Data consistency is very desirable because strong semantic properties make it easier to write correct programs that perform as users expect. However, there are good reasons why co...
Shel Finkelstein, Dean Jacobs, Rainer Brendle
ATAL
2007
Springer
14 years 23 days ago
Resolving conflict and inconsistency in norm-regulated virtual organizations
Norm-governed virtual organizations define, govern and facilitate coordinated resource sharing and problem solving in societies of agents. With an explicit account of norms, openn...
Wamberto Weber Vasconcelos, Martin J. Kollingbaum,...
NDDL
2003
13 years 10 months ago
High-Level Data Races
Data races are a common problem in concurrent and multi-threaded programming. They are hard to detect without proper tool support. Despite the successful application of these tools...
Cyrille Artho, Klaus Havelund, Armin Biere