Wireless Communication Data Sets for Machine Learning.
Matthias Herlich, Stefan Farthofer (2020): Wireless Communication Data Sets for Machine Learning. In: 2nd KuVS Fachgespräch "Machine Learning and Networking" in Würzburg, Germany (virtual)
Abstract: Applying machine learning techniques to wireless networks is a hot research topic. One of the biggest problems in this area is accessing a suitable data set. Because creating such data sets is expensive, reusing them is important. To provide more researchers access to data for machine learning in wireless networking we surveyed data sets. Our overview supports researchers that want to apply machine learning to wireless networking in finding a suitable data set.PDF öffnen
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