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KDD
1998
ACM
442views Data Mining» more  KDD 1998»
15 years 1 months ago
BAYDA: Software for Bayesian Classification and Feature Selection
BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...
Petri Kontkanen, Petri Myllymäki, Tomi Siland...
SEBD
2008
177views Database» more  SEBD 2008»
14 years 11 months ago
Using PageRank in Feature Selection
Abstract. Feature selection is an important task in data mining because it allows to reduce the data dimensionality and eliminates the noisy variables. Traditionally, feature selec...
Dino Ienco, Rosa Meo, Marco Botta
SAC
2009
ACM
15 years 4 months ago
Music retrieval based on a multi-samples selection strategy for support vector machine active learning
In active learning based music retrieval systems, providing multiple samples to the user for feedback is very necessary. In this paper, we present a new multi-samples selection st...
Tian-Jiang Wang, Gang Chen, Perfecto Herrera
GI
2007
Springer
15 years 3 months ago
Automated Test Case Selection Based on a Similarity Function
: A strategy for automatic test case selection based on the use of a similarity function is presented. Test case selection is a crucial activity to model-based testing since the nu...
Emanuela G. Cartaxo, Francisco G. Oliveira Neto, P...
PRL
2007
180views more  PRL 2007»
14 years 9 months ago
Feature selection based on rough sets and particle swarm optimization
: We propose a new feature selection strategy based on rough sets and Particle Swarm Optimization (PSO). Rough sets has been used as a feature selection method with much success, b...
Xiangyang Wang, Jie Yang, Xiaolong Teng, Weijun Xi...