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INFORMATIK 2019

Do We Need Real Data? - Testing and Training Algorithms with Artificial Geolocation Data

The paper Do We Need Real Data? - Testing and Training Algorithms with Artificial Geolocation Data by Jan Kaiser, Kai Bavendiek, and Sibylle Schupp has been accepted at the Data Science track at the 49th GI-Jahrestagung INFORMATIK 2019 in Kassel. The paper is derived from the student research project of Jan Kaiser and proposes a method to measure the quality of artificial geolocation data. A Turing-test like approach is used to compare synthetically generated data to real-life recorded data sets.