A practical approach to feature selection
ML92 Proceedings of the ninth international workshop on Machine learning
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
Machine Learning - Special issue on learning with probabilistic representations
Privacy-preserving data mining
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Integrated machine learning approaches for complementing statistical process control procedures
Decision Support Systems
On the design and quantification of privacy preserving data mining algorithms
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
A mathematical theory of communication
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Past, present, and future of decision support technology
Decision Support Systems - Special issue: Decision support systems: Directions for the next decade
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Machine Learning
k-anonymity: a model for protecting privacy
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
An introduction to variable and feature selection
The Journal of Machine Learning Research
State-of-the-art in privacy preserving data mining
ACM SIGMOD Record
Toward a successful CRM: variable selection, sampling, and ensemble
Decision Support Systems
Biometrics: Personal Identification in Networked Society
Biometrics: Personal Identification in Networked Society
Bayesian Networks for Knowledge-Based Authentication
IEEE Transactions on Knowledge and Data Engineering
A bayesian network model of knowledge-based authentication
A bayesian network model of knowledge-based authentication
Learning with many irrelevant features
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 2
Exploring optimization of semantic relationship graph for multi-relational Bayesian classification
Decision Support Systems
Detection of financial statement fraud and feature selection using data mining techniques
Decision Support Systems
Mutual information based input feature selection for classification problems
Decision Support Systems
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Feature selection is critical to knowledge-based authentication. In this paper, we adopt a wrapper method in which the learning machine is a generative probabilistic model, and the objective is to maximize the Kullback-Leibler divergence between the true empirical distribution defined by the legitimate knowledge and the approximating distribution representing an attacking strategy, both in the same feature space. The closed-form solutions to this optimization problem lead to three adaptive algorithms, unified under the principle of maximum entropy. Our experimental results show that the proposed adaptive methods are superior to the commonly used random selection method.