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ITRE
2005
IEEE
14 years 2 months ago
Structure learning of Bayesian networks using a semantic genetic algorithm-based approach
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
Sachin Shetty, Min Song
IPM
2007
156views more  IPM 2007»
13 years 8 months ago
p2pDating: Real life inspired semantic overlay networks for Web search
We consider a network of autonomous peers forming a logically global but physically distributed search engine, where every peer has its own local collection generated by independe...
Josiane Xavier Parreira, Sebastian Michel, Gerhard...
KDD
1999
ACM
185views Data Mining» more  KDD 1999»
14 years 1 months ago
User-Driven Navigation Pattern Discovery from Internet Data
Managers of electronic commerce sites need to learn as much as possible about their customers and those browsing their virtual premises, in order to maximise the return on marketin...
Matthias Baumgarten, Alex G. Büchner, Sarabjo...
ESWS
2007
Springer
14 years 3 months ago
Empowering Moodle with Rules and Semantics
This short paper describes preliminary ideas for empowering e-learning platform Moodle with rules and semantics. Many existing web applications already contain a lot of structured ...
Sergey Lukichev, Ion-Mircea Diaconescu, Adrian Giu...
SWAP
2007
13 years 10 months ago
Foaf-O-Matic - Solving the Identity Problem in the FOAF Network
An issue that is equally arising both from social networks and the Semantic Web is the fact that, without the consistent use of the same identifier for an object across systems, i...
Stefano Bortoli, Heiko Stoermer, Paolo Bouquet, Ho...