Sciweavers

JMLR
2010
117views more  JMLR 2010»
13 years 6 months ago
Exploiting the High Predictive Power of Multi-class Subgroups
Subgroup discovery aims at finding subsets of a population whose class distribution is significantly different from the overall distribution. A number of multi-class subgroup disc...
Tarek Abudawood, Peter A. Flach
ML
2006
ACM
105views Machine Learning» more  ML 2006»
13 years 11 months ago
Propositionalization-based relational subgroup discovery with RSD
Abstract Relational rule learning algorithms are typically designed to construct classification and prediction rules. However, relational rule learning can be adapted also to subgr...
Filip Zelezný, Nada Lavrac
LWA
2004
14 years 25 days ago
Towards Knowledge-Intensive Subgroup Discovery
Subgroup discovery can be applied for exploration or descriptive induction in order to discover "interesting" subgroups of the general population, given a certain proper...
Martin Atzmüller, Frank Puppe, Hans-Peter Bus...
DAGSTUHL
2004
14 years 25 days ago
Knowledge-Based Sampling for Subgroup Discovery
Subgroup discovery aims at finding interesting subsets of a classified example set that deviates from the overall distribution. The search is guided by a so-called utility function...
Martin Scholz
DIS
2006
Springer
14 years 3 months ago
Visual Interactive Subgroup Discovery with Numerical Properties of Interest
Abstract. We propose an approach to subgroup discovery using distribution rules (a kind of association rules with a probability distribution on the consequent) for numerical proper...
Alípio Mário Jorge, Fernando Pereira...
CINQ
2004
Springer
133views Database» more  CINQ 2004»
14 years 3 months ago
Inductive Querying for Discovering Subgroups and Clusters
We introduce the problem of cluster-grouping and show that it integrates several important data mining tasks, i.e. subgroup discovery, mining correlated patterns and aspects from c...
Albrecht Zimmermann, Luc De Raedt
ROCAI
2004
Springer
14 years 4 months ago
ROC Analysis of Example Weighting in Subgroup Discovery
This paper presents two new ways of example weighting for subgroup discovery. The proposed example weighting schemes are applicable to any subgroup discovery algorithm that uses th...
Branko Kavsek, Nada Lavrac, Ljupco Todorovski
CINQ
2004
Springer
138views Database» more  CINQ 2004»
14 years 4 months ago
Relevancy in Constraint-Based Subgroup Discovery
This chapter investigates subgroup discovery as a task of constraint-based mining of local patterns, aimed at describing groups of individuals with unusual distributional character...
Nada Lavrac, Dragan Gamberger
PAKDD
2005
ACM
103views Data Mining» more  PAKDD 2005»
14 years 5 months ago
Subgroup Discovery Techniques and Applications
This paper presents the advances in subgroup discovery and the ways to use subgroup discovery to generate actionable knowledge for decision support. Actionable knowledge is explici...
Nada Lavrac
PAKDD
2007
ACM
137views Data Mining» more  PAKDD 2007»
14 years 5 months ago
Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data
Abstract. Contrast set mining aims at finding differences between different groups. This paper shows that a contrast set mining task can be transformed to a subgroup discovery ta...
Petra Kralj, Nada Lavrac, Dragan Gamberger, Antoni...