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» Learning Rules and Their Exceptions
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RULEML
2004
Springer
15 years 3 months ago
A Defeasible Logic Reasoner for the Semantic Web
Abstract. Defeasible reasoning is a rule-based approach for efficient reasoning with incomplete and inconsistent information. Such reasoning is, among others, useful for ontology i...
Nick Bassiliades, Grigoris Antoniou, Ioannis P. Vl...
76
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DATAMINE
2008
112views more  DATAMINE 2008»
14 years 9 months ago
PRIE: a system for generating rulelists to maximize ROC performance
Rules are commonly used for classification because they are modular, intelligible and easy to learn. Existing work in classification rule learning assumes the goal is to produce ca...
Tom Fawcett
ACSAC
2006
IEEE
15 years 3 months ago
A Study of Access Control Requirements for Healthcare Systems Based on Audit Trails from Access Logs
In healthcare, role-based access control systems are often extended with exception mechanisms to ensure access to needed informationeven when the needs don’t followthe expected ...
Lillian Røstad, Ole Edsberg
AIME
2005
Springer
15 years 3 months ago
Learning Rules from Multisource Data for Cardiac Monitoring
This paper aims at formalizing the concept of learning rules from multisource data in a cardiac monitoring context. Our method has been implemented and evaluated on learning from d...
Élisa Fromont, Rene Quiniou, Marie-Odile Co...
SDM
2009
SIAM
154views Data Mining» more  SDM 2009»
15 years 6 months ago
AMORI: A Metric-Based One Rule Inducer.
The requirements of real-world data mining problems vary extensively. It is plausible to assume that some of these requirements can be expressed as application-specific performan...
Niklas Lavesson, Paul Davidsson