A simple weighting scheme for classification in two-group discriminant problems
Computers and Operations Research
Beyond Fear: Thinking Sensibly about Security in an Uncertain World
Beyond Fear: Thinking Sensibly about Security in an Uncertain World
A hybrid decision tree/genetic algorithm method for data mining
Information Sciences: an International Journal - Special issue: Soft computing data mining
Using Emerging Patterns and Decision Trees in Rare-Class Classification
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
Model-driven decision support systems: Concepts and research directions
Decision Support Systems
Enterprise Information Systems
A security evaluation approach for information systems in telecommunication enterprises
Enterprise Information Systems
SMOTE: synthetic minority over-sampling technique
Journal of Artificial Intelligence Research
A service-based framework for pharmacogenomics data integration
Enterprise Information Systems
Borderline-SMOTE: a new over-sampling method in imbalanced data sets learning
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
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The Transportation Security Agency provides airline security in the United States using a variety of measures including a computer based passenger prescreening system. This paper develops Bayesian decision models of two prescreening systems: one that places ticketed passengers into two classifications (fly and no-fly), and a three classification system that includes potential flight. Using a parameterized cost structure, and the expected monetary value decision criteria, this paper develops optimal levels of undesirable personal characteristics that should place people into the various categories. The models are explored from both the government perspective and the passenger's perspective.