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» Learning Rules from Distributed Data
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ICPW
2007
15 years 1 months ago
Rule responder: RuleML-based agents for distributed collaboration on the pragmatic web
The Rule Responder project (responder.ruleml.org) extends the Semantic Web towards a Pragmatic Web infrastructure for collaborative human-computer networks. These allow semi-autom...
Adrian Paschke, Harold Boley, Alexander Kozlenkov,...
DBWORKSHOPS
1992
15 years 24 days ago
An Incremental Concept Formation Approach for Learning from Databases
Godin, R. and R. Missaoui, An incremental concept formation approach for learning from databases, Theoretical Computer Science 133 (1994) 3533385. This paper describes a concept f...
Rokia Missaoui, Robert Godin
IJCAI
2003
15 years 1 months ago
Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources
With the growing use of distributed information networks, there is an increasing need for algorithmic and system solutions for data-driven knowledge acquisition using distributed,...
Doina Caragea, Jaime Reinoso, Adrian Silvescu, Vas...
HAIS
2009
Springer
15 years 4 months ago
An Evolutionary Ensemble-Based Method for Rule Extraction with Distributed Data
This paper presents a methodology for knowledge discovery from inherently distributed data without moving it from its original location, completely or partially, to other locations...
Diego M. Escalante, Miguel Angel Rodriguez, Antoni...
ICTAI
2007
IEEE
15 years 6 months ago
Establishing Logical Rules from Empirical Data
We review a method of generating logical rules, or axioms, from empirical data. This method, using closed set properties of formal concept analysis, has been previously described ...
John L. Pfaltz