%0 Thesis %1 Erhard2019 %A Erhard, Florian %C Am Hubland, Informatikgebäude, 97074 Würzburg, Germany %D 2019 %K Thesis_supervised_by_Marwin_Zuefle feature_engineering Thesis_supervised_by_Christian_Krupitzer prediction descartes Thesis_supervised_by_SE_member statistical_estimation_and_machine_learning se2_mastersthesis %T Designing a Generic Workflow for Frequency-based Feature Engineering of Sports Data Using Symbolic Fourier Approximation

@mastersthesis{Erhard2019, added-at = {2020-04-20T14:47:49.000+0200}, address = {Am Hubland, Informatikgeb{\"a}ude, 97074 W{\"u}rzburg, Germany}, author = {Erhard, Florian}, biburl = {https://www.bibsonomy.org/bibtex/255cb0d4e3989d83ba44e72ae9b8fe314/se-group}, interhash = {33b369794651f5354ea4c9cb2b182101}, intrahash = {55cb0d4e3989d83ba44e72ae9b8fe314}, keywords = {Thesis_supervised_by_Marwin_Zuefle feature_engineering Thesis_supervised_by_Christian_Krupitzer prediction descartes Thesis_supervised_by_SE_member statistical_estimation_and_machine_learning se2_mastersthesis}, month = {September}, school = {University of W{\"u}rzburg}, timestamp = {2020-05-13T11:56:43.000+0200}, title = {{Designing a Generic Workflow for Frequency-based Feature Engineering of Sports Data Using Symbolic Fourier Approximation}}, type = {{Bachelor Thesis}}, year = 2019 }