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PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
15 years 6 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...
OTM
2007
Springer
15 years 6 months ago
Discovering Executable Semantic Mappings Between Ontologies
Creating executable semantic mappings is an important task for ontology-based information integration. Although it is argued that mapping tools may require interaction from humans ...
Han Qin, Dejing Dou, Paea LePendu
KDD
1999
ACM
237views Data Mining» more  KDD 1999»
15 years 4 months ago
Using Association Rules for Product Assortment Decisions: A Case Study
It has been claimed that the discovery of association rules is well-suited for applications of market basket analysis to reveal regularities in the purchase behaviour of customers...
Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert We...
AUSDM
2006
Springer
114views Data Mining» more  AUSDM 2006»
15 years 3 months ago
Consolidated Trees: An Analysis of Structural Convergence
When different subsamples of the same data set are used to induce classification trees, the structure of the built classifiers is very different. The stability of the structure of ...
Jesús M. Pérez, Javier Muguerza, Ola...
KDD
1995
ACM
130views Data Mining» more  KDD 1995»
15 years 3 months ago
Compression-Based Evaluation of Partial Determinations
Our work tackles the problem of finding partial determinations in databases and proposes a compressionbased measure to evaluate them. Partial determinations can be viewed as gener...
Bernhard Pfahringer, Stefan Kramer