Applying Machine Learning for Sensor Data Analysis in Interactive Systems: Common Pitfalls of Pragmatic Use and Ways to Avoid Them

With the widespread proliferation of (miniaturized) sensing facilities and the massive growth and popularity of the field of machine learning (ML) research, new frontiers in automated sensor data analysis have been explored that lead to paradigm shifts in many application domains. In fact, many prac...

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Veröffentlicht in:	ACM computing surveys 2021-07, Vol.54 (6), p.1-25
1. Verfasser:	PlÖtz, Thomas
Format:	Artikel
Sprache:	eng
Schlagworte:	Automation Computer science Data analysis Domains Interactive systems Machine learning Sensors
Online-Zugang:	Volltext
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