We review threat models used in the evaluation of anonymity systems’ vulnerability to traffic analysis. We then suggest that, under the partial adversary model, if multiple packe...
Imbalanced data learning has recently begun to receive much attention from research and industrial communities as traditional machine learners no longer give satisfactory results. ...
Cost-sensitive decision tree and cost-sensitive naïve Bayes are both new cost-sensitive learning models proposed recently to minimize the total cost of test and misclassifications...
In this study, a hybrid intelligent data mining methodology, genetic algorithm based support vector machine (GASVM) model, is proposed to explore stock market tendency. In this hyb...
This work describes a technique for improving network performance in Grid environments that we refer to as “logistics.” We demonstrate that by using storage and cooperative fo...