1291 search results - page 2 / 259 » Learning Rules from Distributed Data |
AIME
2005
Springer
13 years 10 months ago
2005
Springer
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...
PKDD
2005
Springer
13 years 10 months ago
2005
Springer
Imbalanced data learning has recently begun to receive much attention from research and industrial communities as traditional machine learners no longer give satisfactory results. ...
EDM
2010
13 years 6 months ago
2010
Rare association rules are those that only appear infrequently even though they are highly associated with very specific data. In consequence, these rules can be very appropriate f...
ECML
2001
Springer
13 years 9 months ago
2001
Springer
Abstract. This paper proposes a generic extension to propositional rule learners to handle multiple-instance data. In a multiple-instance representation, each learning example is r...
DATAMINE
2006
13 years 5 months ago
2006
Different from traditional association-rule mining, a new paradigm called Ratio Rule (RR) was proposed recently. Ratio rules are aimed at capturing the quantitative association kno...