Pattern recognition: human and mechanical
Pattern recognition: human and mechanical
C4.5: programs for machine learning
C4.5: programs for machine learning
Learning Boolean concepts in the presence of many irrelevant features
Artificial Intelligence
Fundamentals of algorithmics
Wrappers for performance enhancement and oblivious decision graphs
Wrappers for performance enhancement and oblivious decision graphs
Selection of relevant features and examples in machine learning
Artificial Intelligence - Special issue on relevance
A Monotonic Measure for Optimal Feature Selection
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Feature Selection via Set Cover
KDEX '97 Proceedings of the 1997 IEEE Knowledge and Data Engineering Exchange Workshop
A Branch and Bound Algorithm for Feature Subset Selection
IEEE Transactions on Computers
Approximation algorithms for combinatorial problems
Journal of Computer and System Sciences
A Kolmogorov-Smirnov Correlation-Based Filter for Microarray Data
Neural Information Processing
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
A dimensionality reduction based on feature quality measure
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
Survey and taxonomy of feature selection algorithms in intrusion detection system
Inscrypt'06 Proceedings of the Second SKLOIS conference on Information Security and Cryptology
CISC'05 Proceedings of the First SKLOIS conference on Information Security and Cryptology
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
Heuristic search over a ranking for feature selection
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Fast feature selection aimed at high-dimensional data via hybrid-sequential-ranked searches
Expert Systems with Applications: An International Journal
Quantitative intrusion intensity assessment for intrusion detection systems
Security and Communication Networks
Engineering Applications of Artificial Intelligence
A novel feature subset selection algorithm based on association rule mining
Intelligent Data Analysis
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Feature selection is an effective technique in dealing with dimensionality reduction for classification task, a main component of data mining. It searches for an "optimal" subset of features. The search strategies under consideration are one of the three: complete, heuristic, and probabilistic. Existing algorithms adopt various measures to evaluate the goodness of feature subsets. This work focuses on one measure called consistency. We study its properties in comparison with other major measures and different ways of using this measure in search of feature subsets. We conduct an empirical study to examine the pros and cons of these different search methods using consistency. Through this extensive exercise, we aim to provide a comprehensive view of this measure and its relations with other measures and a guideline of the use of this measure with different search strategies facing a new application.