C4.5: programs for machine learning
C4.5: programs for machine learning
Selection of relevant features and examples in machine learning
Artificial Intelligence - Special issue on relevance
Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Multiple Comparisons in Induction Algorithms
Machine Learning
Feature Selection for Knowledge Discovery and Data Mining
Feature Selection for Knowledge Discovery and Data Mining
Discretization: An Enabling Technique
Data Mining and Knowledge Discovery
Feature selection for high-dimensional genomic microarray data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Minimum Redundancy Feature Selection from Microarray Gene Expression Data
CSB '03 Proceedings of the IEEE Computer Society Conference on Bioinformatics
Theoretical and Empirical Analysis of ReliefF and RReliefF
Machine Learning
Interactive exploration of coherent patterns in time-series gene expression data
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining phenotypes and informative genes from gene expression data
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient Feature Selection via Analysis of Relevance and Redundancy
The Journal of Machine Learning Research
Toward Integrating Feature Selection Algorithms for Classification and Clustering
IEEE Transactions on Knowledge and Data Engineering
Attribute Clustering for Grouping, Selection, and Classification of Gene Expression Data
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
ACSC '05 Proceedings of the Twenty-eighth Australasian conference on Computer Science - Volume 38
IEEE Intelligent Systems
Analysis of breast feeding data using data mining methods
AusDM '06 Proceedings of the fifth Australasian conference on Data mining and analystics - Volume 61
Markov blanket-embedded genetic algorithm for gene selection
Pattern Recognition
Logic classification and feature selection for biomedical data
Computers & Mathematics with Applications
Consensus unsupervised feature ranking from multiple views
Pattern Recognition Letters
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
ICDM '08 Proceedings of the 8th industrial conference on Advances in Data Mining: Medical Applications, E-Commerce, Marketing, and Theoretical Aspects
Identifying video spammers in online social networks
AIRWeb '08 Proceedings of the 4th international workshop on Adversarial information retrieval on the web
A Study on the Importance of Differential Prioritization in Feature Selection Using Toy Datasets
PRIB '08 Proceedings of the Third IAPR International Conference on Pattern Recognition in Bioinformatics
Feature cluster selection for high-throughput data analysis
International Journal of Data Mining and Bioinformatics
Model cortical responses for the detection of perceptual onsets and beat tracking in singing
Connection Science - Music, Brain, Cognition
Semantic similarity based feature extraction from microarray expression data
International Journal of Data Mining and Bioinformatics
Feature selection via Boolean independent component analysis
Information Sciences: an International Journal
A novel ensemble machine learning for robust microarray data classification
Computers in Biology and Medicine
Feature Selection for Gene Expression Using Model-Based Entropy
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
A Multiple-Filter-Multiple-Wrapper Approach to Gene Selection and Microarray Data Classification
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Discovering prediction model for environmental distribution maps
PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining
A novel metric for redundant gene elimination based on discriminative contribution
ISBRA'08 Proceedings of the 4th international conference on Bioinformatics research and applications
Distance based feature selection for clustering microarray data
DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications
On the effectiveness of gene selection for microarray classification methods
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II
A hybrid model to favor the selection of high quality features in high dimensional domains
IDEAL'11 Proceedings of the 12th international conference on Intelligent data engineering and automated learning
IDEAL'11 Proceedings of the 12th international conference on Intelligent data engineering and automated learning
Gene selection for classifying microarray data using grey relation analysis
DS'06 Proceedings of the 9th international conference on Discovery Science
Combined gene selection methods for microarray data analysis
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Automatic feature selection for classification of health data
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Gene ranking from microarray data for cancer classification: a machine learning approach
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Robust ensemble learning for cancer diagnosis based on microarray data classification
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
Analysis of feature rankings for classification
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
Virtual gene: a gene selection algorithm for sample classification on microarray datasets
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
Integrating heterogeneous microarray data sources using correlation signatures
DILS'05 Proceedings of the Second international conference on Data Integration in the Life Sciences
OVA scheme vs. single machine approach in feature selection for microarray datasets
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
A new maximum-relevance criterion for significant gene selection
PRIB'06 Proceedings of the 2006 international conference on Pattern Recognition in Bioinformatics
Virtual gene: using correlations between genes to select informative genes on microarray datasets
Transactions on Computational Systems Biology II
Identifying a small set of marker genes using minimum expected cost of misclassification
Artificial Intelligence in Medicine
Boost feature subset selection: a new gene selection algorithm for microarray dataset
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part II
A novel feature selection method based on normalized mutual information
Applied Intelligence
Two way focused classification
DaWaK'07 Proceedings of the 9th international conference on Data Warehousing and Knowledge Discovery
Post-processing strategies for improving local gene expression pattern analysis
International Journal of Data Mining and Bioinformatics
Toward the scalability of neural networks through feature selection
Expert Systems with Applications: An International Journal
A new gene selection method for microarray data based on PSO and informativeness metric
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
Spatial distance join based feature selection
Engineering Applications of Artificial Intelligence
Hybridising harmony search with a Markov blanket for gene selection problems
Information Sciences: an International Journal
A novel feature subset selection algorithm based on association rule mining
Intelligent Data Analysis
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In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseases or phenotypes. The problem becomes particularly challenging due to the large number of features (genes) and small sample size. Traditional gene selection methods often select the top-ranked genes according to their individual discriminative power without handling the high degree of redundancy among the genes. Latest research shows that removing redundant genes among selected ones can achieve a better representation of the characteristics of the targeted phenotypes and lead to improved classification accuracy. Hence, we study in this paper the relationship between feature relevance and redundancy and propose an efficient method that can effectively remove redundant genes. The efficiency and effectiveness of our method in comparison with representative methods has been demonstrated through an empirical study using public microarray data sets.