Konferenzbeitrag
HollerithEnergyML: A Prototype of a Machine Learning Energy Consumption Recommender System
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Text/Conference Paper
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Datum
2024
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Quelle
Verlag
Gesellschaft für Informatik e.V.
Zusammenfassung
Energy consumption aspects of machine learning classifiers are important for research and practice as well. Due to sparse research in this area, a prototype of a recommender system was developed to provide energy consumption recommendations of different possible classifiers. The prototype is demonstrated as well as discussed and future research points are derived.