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FLAIRS
2006
13 years 7 months ago
Generalized Entropy for Splitting on Numerical Attributes in Decision Trees
Decision Trees are well known for their training efficiency and their interpretable knowledge representation. They apply a greedy search and a divide-and-conquer approach to learn...
Mingyu Zhong, Michael Georgiopoulos, Georgios C. A...
ECCC
2006
96views more  ECCC 2006»
13 years 5 months ago
When Does Greedy Learning of Relevant Features Succeed? --- A Fourier-based Characterization ---
Detecting the relevant attributes of an unknown target concept is an important and well studied problem in algorithmic learning. Simple greedy strategies have been proposed that s...
Jan Arpe, Rüdiger Reischuk
TODS
2012
11 years 8 months ago
Attribute and object selection queries on objects with probabilistic attributes
Rabia Nuray-Turan, Dmitri V. Kalashnikov, Sharad M...
IJSI
2008
104views more  IJSI 2008»
13 years 5 months ago
Attribute Selection for Numerical Databases that Contain Correlations
There are many correlated attributes in a database. Conventional attribute selection methods are not able to handle such correlations and tend to eliminate important rules that exi...
Taufik Djatna, Yasuhiko Morimoto
ICDM
2008
IEEE
99views Data Mining» more  ICDM 2008»
14 years 6 days ago
Finding Good Itemsets by Packing Data
The problem of selecting small groups of itemsets that represent the data well has recently gained a lot of attention. We approach the problem by searching for the itemsets that c...
Nikolaj Tatti, Jilles Vreeken