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ILP
2003
Springer
14 years 2 months ago
Mining Model Trees: A Multi-relational Approach
In many data mining tools that support regression tasks, training data are stored in a single table containing both the target field (dependent variable) and the attributes (indepe...
Annalisa Appice, Michelangelo Ceci, Donato Malerba
CIKM
2009
Springer
14 years 3 months ago
Role of weak ties in link prediction of complex networks
Plenty of algorithms for link prediction have been proposed and were applied to various real networks. Among these works, the weights of links are rarely taken into account. In th...
Linyuan Lu, Tao Zhou
AIIA
2005
Springer
14 years 2 months ago
Mining Relational Association Rules for Propositional Classification
In traditional classification setting, training data are represented as a single table, where each row corresponds to an example and each column to a predictor variable or the targ...
Annalisa Appice, Michelangelo Ceci, Donato Malerba
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
14 years 3 months ago
The Feature Importance Ranking Measure
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
Alexander Zien, Nicole Krämer, Sören Son...
KDD
2005
ACM
130views Data Mining» more  KDD 2005»
14 years 9 months ago
Regression error characteristic surfaces
This paper presents a generalization of Regression Error Characteristic (REC) curves. REC curves describe the cumulative distribution function of the prediction error of models an...
Luís Torgo