Our lab is not only about research: we do a lot of development using Java, Python, Javascript, Haskell and other languages in combination with advanced libraries and frameworks. This development experience was very helpful during my job interviews, and employers were impressed by the projects we develop here in the lab.
Analysis and Prediction of Application Categories on Online Application Stores
Title | Analysis and Prediction of Application Categories on Online Application Stores |
Publication Type | Report |
Year of Publication | 2013 |
Authors | Murashkin, A. |
Document Number | GSDLAB-TR 2014-05-22 |
Institution | University of Waterloo |
City | Waterloo |
Type | Technical Report |
Report Number | GSDLAB-TR 2014-05-22 |
Abstract | We discuss suitable multi-class and binary classification methods and describe three experiments we conduct, including details about data preprocessing, validation, testing and the final results. For evaluating our approach, we use an F-measure and Confusion Matrix. As the result, we were able to identify confusing categories that should be taken into consideration. |
URL | http://gsd.uwaterloo.ca/sites/default/files/analysis_prediction_categories.pdf |