Dimitrov, Nedialko B.2015-11-122018-01-222015-11-122018-01-222015-05May 2015http://hdl.handle.net/2152/32404textThe feature selection problem is a major component in disease surveillance since data sources are so costly. This report describes several existing methods for performing feature selection along with software that implements these methods. To help make experimenting with different algorithms easy, we have created a feature selection wrapper package in Python. This wrapper allows the user to easily try different algorithms on the same data set and visualize the results. Experiments are performed to validate that the methods perform as expected.application/pdfFeature selectionSoftwareThesis2015-11-12