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GFKL
2007
Springer
158views Data Mining» more  GFKL 2007»
13 years 11 months ago
Investigating Classifier Learning Behavior with Experiment Databases
Experimental assessment of the performance of classification algorithms is an important aspect of their development and application on real-world problems. To facilitate this analy...
Joaquin Vanschoren, Hendrik Blockeel
KDD
2001
ACM
124views Data Mining» more  KDD 2001»
14 years 7 months ago
Tri-plots: scalable tools for multidimensional data mining
We focus on the problem of finding patterns across two large, multidimensional datasets. For example, given feature vectors of healthy and of non-healthy patients, we want to answ...
Agma J. M. Traina, Caetano Traina Jr., Spiros Papa...
JIIS
2010
106views more  JIIS 2010»
13 years 2 months ago
A new classification of datasets for frequent itemsets
The discovery of frequent patterns is a famous problem in data mining. While plenty of algorithms have been proposed during the last decade, only a few contributions have tried to ...
Frédéric Flouvat, Fabien De Marchi, ...
VLDB
1998
ACM
120views Database» more  VLDB 1998»
13 years 11 months ago
PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning
Classification is an important problem in data mining. Given a database of records, each with a class label, a classifier generates a concise and meaningful description for each c...
Rajeev Rastogi, Kyuseok Shim
KDD
2006
ACM
166views Data Mining» more  KDD 2006»
14 years 8 months ago
Anonymizing sequential releases
An organization makes a new release as new information become available, releases a tailored view for each data request, releases sensitive information and identifying information...
Ke Wang, Benjamin C. M. Fung