TopSelect: A Topology-based Feature Selection Method for Industrial Machine Learning

Building robust industrial machine learning (ML) models requires incorporating domain knowledge in feature selection. This ensures building meaningful ML models that fit the context of the industrial process that consists of complex networks of thousands of elements interconnected by flows of materi...

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Veröffentlicht in:	Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI S. 46 - 47
Hauptverfasser:	Abukwaik, Hadil, Sula, Lefter, Rodriguez, Pablo
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ACM 01.05.2022
Schlagworte:	Diversity reception domain knowledge Feature extraction feature selection Industrial ML Knowledge engineering Machine learning Manuals Software algorithms topology model Training
Online-Zugang:	Volltext
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