This paper proposes a new attribute construction approach which converts the original data attributes into a higher dimensional feature space to extract more attribute information by a similarity-based algorithm using the classification-oriented fuzzy membership function. Seven data sets with different attribute sizes are employed to examine the performance of the proposed method. The results show […]
Exploiting Excess Capacity to Improve Robustness of WDM Mesh Networks
Excess capacity (EC) is the unused capacity in a network. Excess capacity management techniques exploit the EC to improve the network performance. In this paper we propose EC management techniques that exploit EC to improve all the three performance metrics. EC management techniques differ in two respects: when connections are migrated from one protection scheme […]
Protecting Source and Sink Location Privacy in Sensor Networks
Location privacy is very important, especially in hostile environments. Failure to protect such information can completely subvert the intended purposes of sensor network applications. A number of privacy-preserving routing techniques have been developed for sensor networks. However, most of them are designed to protect against an adversary only capable of eavesdropping on a limited portion […]
Mutual Information-Based Supervised Attribute Clustering for Microarray Sample Classification
Microarray technology is one of the important biotechnological means that allows to record the expression levels of thousands of genes simultaneously within a number of different samples. An important application of microarray gene expression data in functional genomics is to classify samples according to their gene expression profiles. Among the large amount of genes presented […]