On learning to predict web traffic
Decision Support Systems - Special issue: Web data mining
Theoretical and Empirical Analysis of ReliefF and RReliefF
Machine Learning
Filtering Multi-Instance Problems to Reduce Dimensionality in Relational Learning
Journal of Intelligent Information Systems
Grafting: fast, incremental feature selection by gradient descent in function space
The Journal of Machine Learning Research
Benchmarking Attribute Selection Techniques for Discrete Class Data Mining
IEEE Transactions on Knowledge and Data Engineering
Simplifying decision trees: A survey
The Knowledge Engineering Review
CLIP4: hybrid inductive machine learning algorithm that generates inequality rules
Information Sciences: an International Journal - Special issue: Soft computing data mining
Feature subset selection for learning preferences: a case study
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Latent semantic analysis for an effective region-based video shot retrieval system
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Automatic feature selection in neuroevolution
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Statistics and Computing
A New Dependency and Correlation Analysis for Features
IEEE Transactions on Knowledge and Data Engineering
Learning to predict train wheel failures
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
GMDH-based feature ranking and selection for improved classification of medical data
Journal of Biomedical Informatics
Iterative RELIEF for feature weighting
ICML '06 Proceedings of the 23rd international conference on Machine learning
Maximally informative k-itemsets and their efficient discovery
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Feature selection for air quality forecasting: a genetic algorithm approach
AI Communications - Binding Environmental Sciences and Artificial Intelligence
Classification of gene-expression data: The manifold-based metric learning way
Pattern Recognition
A decision tree-based attribute weighting filter for naive Bayes
Knowledge-Based Systems
Feature salience definition and estimation and its use in feature subset selection
Intelligent Data Analysis
Feature selection in a kernel space
Proceedings of the 24th international conference on Machine learning
Supervised feature selection via dependence estimation
Proceedings of the 24th international conference on Machine learning
From machine learning to knowledge discovery: Survey of preprocessing and postprocessing
Intelligent Data Analysis
Using genetic feature selection for improving cyber attack detection rate
ACST'07 Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology
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