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» Association Rule Mining Algorithms for Set-Valued Data
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DAWAK
1999
Springer
13 years 12 months ago
Modeling KDD Processes within the Inductive Database Framework
One of the most challenging problems in data manipulation in the future is to be able to e ciently handle very large databases but also multiple induced properties or generalizatio...
Jean-François Boulicaut, Mika Klemettinen, ...
DKE
2006
157views more  DKE 2006»
13 years 7 months ago
XML structural delta mining: Issues and challenges
Recently, there is an increasing research efforts in XML data mining. These research efforts largely assumed that XML documents are static. However, in reality, the documents are ...
Qiankun Zhao, Ling Chen 0002, Sourav S. Bhowmick, ...
ICDM
2009
IEEE
124views Data Mining» more  ICDM 2009»
14 years 2 months ago
Rule Ensembles for Multi-target Regression
—Methods for learning decision rules are being successfully applied to many problem domains, especially where understanding and interpretation of the learned model is necessary. ...
Timo Aho, Bernard Zenko, Saso Dzeroski
NAR
2007
111views more  NAR 2007»
13 years 7 months ago
PEDANT genome database: 10 years online
The PEDANT genome database provides exhaustive annotation of 468 genomes by a broad set of bioinformatics algorithms. We describe recent developments of the PEDANT Web server. The...
M. Louise Riley, Thorsten Schmidt, Irena I. Artamo...
ROCAI
2004
Springer
14 years 1 months ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer