Intelligent data analysis in the management of production systems
Approaches and methods
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Beschreibung
This study is related to the increasing role of prognostic models in the management of production systems. Authors with different scientific background have worked together to find approaches for the improvement of real-life management decisions in production environments. The creative mixture of innovation and performance management methods, data mining and predictive models, time-series analysis and semi-supervised training is not only of great scientific interest but also leads to increased validity and quality of management decisions.
Autor*in
Leonid Mylnikov
Themen in »Intelligent data analysis in the management of production systems«
data mining data preparation machine learning prediction production systems project management risk assessment time series