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ECML
1997
Springer
15 years 11 months ago
Global Data Analysis and the Fragmentation Problem in Decision Tree Induction
We investigate an inherent limitation of top-down decision tree induction in which the continuous partitioning of the instance space progressively lessens the statistical support o...
Ricardo Vilalta, Gunnar Blix, Larry A. Rendell
CIKM
2009
Springer
15 years 10 months ago
Classification-based resource selection
In some retrieval situations, a system must search across multiple collections. This task, referred to as federated search, occurs for example when searching a distributed index o...
Jaime Arguello, Jamie Callan, Fernando Diaz
ECML
2007
Springer
15 years 10 months ago
Finding Composite Episodes
Mining frequent patterns is a major topic in data mining research, resulting in many seminal papers and algorithms on item set and episode discovery. The combination of these, call...
Ronnie Bathoorn, Arno Siebes
ECML
2004
Springer
15 years 10 months ago
Naive Bayesian Classifiers for Ranking
It is well-known that naive Bayes performs surprisingly well in classification, but its probability estimation is poor. In many applications, however, a ranking based on class prob...
Harry Zhang, Jiang Su
COLT
2006
Springer
15 years 10 months ago
A Sober Look at Clustering Stability
Stability is a common tool to verify the validity of sample based algorithms. In clustering it is widely used to tune the parameters of the algorithm, such as the number k of clust...
Shai Ben-David, Ulrike von Luxburg, Dávid P...
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