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Feature selection techniques are investigated to increase the accuracy of classification while reducing the dimensionality of the feature space. Dimensionality reduction techniques investigated include principal component analysis (PCA), recursive feature elimination (RFE), and Genetic and Evolutionary Feature Weighting & Selection (GEFeWS). A support vector machine (SVM) with linear kernel functions...
Traditional public health surveillance methods such as those employed by the CDC (United States Centers for Disease Control and Prevention) rely on regular clinical reports, which are almost always manual and labor intensive. Twitter, a popular micro-blogging service, provides the possibility of automated public health surveillance. Tweets, however, are less than 140 characters, and do not provide...
Research in file-type identification has employed a number of different approaches to classify unknown files according to their actual file type. However, due to the lack of implementation details in much of the published research and the use of private datasets for many of those projects, it is often not possible to compare new techniques with the prior work. In this paper, we present a comparison...
The dynamic Travelling Salesman Problem (TSP) is a variation of the TSP with important real world applications. In the static TSP, the dataset must be complete and never change throughout the processing of the solution. The static TSP provides a rich theoretical framework in which to study the full optimization of the shortest route for a given set of points. The points in a static dataset are fixed...
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