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MLDM
2009
Springer
14 years 2 months ago
Relational Frequent Patterns Mining for Novelty Detection from Data Streams
We face the problem of novelty detection from stream data, that is, the identification of new or unknown situations in an ordered sequence of objects which arrive on-line, at cons...
Michelangelo Ceci, Annalisa Appice, Corrado Loglis...
SBRN
2002
IEEE
14 years 25 days ago
Using a Chain of LVQ Neural Networks for Pattern Recognition of EEG Signals Related to Intermittent Photic-Stimulation
This work reports the use of neural networks for pattern recognition in electroencephalographic signals related to intermittent photic-stimulation. Due to the low signal/noise rat...
Mauricio Kugler, Heitor Silvério Lopes
KESAMSTA
2010
Springer
14 years 21 days ago
Classifying Agent Behaviour through Relational Sequential Patterns
Abstract. In Multi-Agent System, observing other agents and modelling their behaviour represents an essential task: agents must be able to quickly adapt to the environment and infe...
Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, ...
AIIA
2007
Springer
14 years 2 months ago
Discovering Relational Emerging Patterns
The discovery of emerging patterns (EPs) is a descriptive data mining task defined for pre-classified data. It aims at detecting patterns which contrast two classes and has been ...
Annalisa Appice, Michelangelo Ceci, Carlo Malgieri...
WEBDB
1998
Springer
96views Database» more  WEBDB 1998»
14 years 4 days ago
Extracting Patterns and Relations from the World Wide Web
The World Wide Web is a vast resource for information. At the same time it is extremely distributed. A particular type of data such as restaurant lists maybe scattered across thous...
Sergey Brin