Interpretable Anomaly Prediction: Predicting anomalous behavior in industry 4.0 settings via regularized logistic regression tools.
Rocco LangoneAlfredo CuzzocreaNikolaos SkantzosPublished in: Data Knowl. Eng. (2020)
Keyphrases
- logistic regression
- anomalous behavior
- anomaly detection
- decision trees
- support vector
- credit scoring
- prediction accuracy
- chi square
- logistic regression models
- breast cancer
- loss function
- naive bayes
- linear support vector machines
- least squares
- odds ratio
- linear svm
- chi square test
- intrusion detection
- data mining
- classification trees
- normal behavior
- predictor variables
- unsupervised learning
- logistic model
- neural network