A Novel Hybrid Feature Importance and Feature Interaction Detection Framework for Predictive Optimization in Industry 4.0 Applications
Author:
Affiliation:
1. SDU Center for Energy Informatics, the Maersk Mc-Kinney Moller Institute University of Southern Denmark,Odense,Denmark
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10311571/10311610/10312491.pdf?arnumber=10312491
Reference16 articles.
1. An approach to recognize interacting features from B-Rep CAD models of prismatic machined parts using a hybrid (graph and rule based) technique
2. Distributed and parallel time series feature extraction for industrial big data applications;christ;ArXiv Preprint,2016
3. Deep & Cross Network for Ad Click Predictions
4. A threshold of ln n for approximating set cover
5. Explainable Machine Learning in Industry 4.0: Evaluating Feature Importance in Anomaly Detection to Enable Root Cause Analysis
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