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FLAIRS
2010
13 years 11 months ago
Mining Actionable Patterns
We propose a generic framework that uses utility in decision making to drive the data mining process. We use concepts from meta-learning and build on earlier work by Elovici and B...
Prabakararaj Swapna Raj, Ravindran Balaraman
ISMIS
2005
Springer
14 years 2 months ago
Bitmap Index-Based Decision Trees
In this paper we propose an original approach to apply data mining algorithms, namely decision tree-based methods, taking into account not only the size of processed databases but ...
Cécile Favre, Fadila Bentayeb
ILP
2003
Springer
14 years 1 months ago
A Multi-relational Decision Tree Learning Algorithm - Implementation and Experiments
We describe an efficient implementation (MRDTL-2) of the Multi-relational decision tree learning (MRDTL) algorithm [23] which in turn was based on a proposal by Knobbe et al. [19] ...
Anna Atramentov, Hector Leiva, Vasant Honavar
DMIN
2009
223views Data Mining» more  DMIN 2009»
13 years 6 months ago
Are Decision Trees Always Greener on the Open (Source) Side of the Fence?
- This short paper compares the performance of three popular decision tree algorithms: C4.5, C5.0, and WEKA's J48. These decision tree algorithms are all related in that C5.0 ...
Samuel Moore, Daniel D'Addario, James Kurinskas, G...
ICIP
2007
IEEE
14 years 14 days ago
H.263 to H.264 Transconding using Data Mining
1 In this paper, we propose the use of data mining algorithms to create a macroblock partition mode decision algorithm for inter-frame prediction, to be used as part of a high-effi...
Gerardo Fernández-Escribano, Jens Bialkowsk...