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» Learning Rules from Distributed Data
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ESANN
2003
14 years 11 months ago
Robust Topology Representing Networks
Martinetz and Schulten proposed the use of a Competitive Hebbian Learning (CHL) rule to build Topology Representing Networks. From a set of units and a data distribution, a link i...
Michaël Aupetit
JSS
2002
198views more  JSS 2002»
14 years 9 months ago
Automated discovery of concise predictive rules for intrusion detection
This paper details an essential component of a multi-agent distributed knowledge network system for intrusion detection. We describe a distributed intrusion detection architecture...
Guy G. Helmer, Johnny S. Wong, Vasant Honavar, Les...
ISASSCI
2001
14 years 11 months ago
Distributing the Derivation and Maintenance of Subset Descriptor Rules
This draft paper describes a solution to the rule maintenance problem for data descriptor rules derived from data that may subsequently change. The method utilises any available c...
Jerome Robinson, Barry G. T. Lowden, Mohammed Al H...
PKDD
2004
Springer
118views Data Mining» more  PKDD 2004»
15 years 2 months ago
Learning from Multi-source Data
This paper proposes an efficient method to learn from multi source data with an Inductive Logic Programming method. The method is based on two steps. The first one consists in lea...
Élisa Fromont, Marie-Odile Cordier, Rene Qu...
CORR
2008
Springer
216views Education» more  CORR 2008»
14 years 9 months ago
Building an interpretable fuzzy rule base from data using Orthogonal Least Squares Application to a depollution problem
In many fields where human understanding plays a crucial role, such as bioprocesses, the capacity of extracting knowledge from data is of critical importance. Within this framewor...
Sébastien Destercke, Serge Guillaume, Brigi...