An Ensemble Interpretable Machine Learning Scheme for Securing Data Quality at the Edge.
Anna KaranikaPanagiotis OikonomouKostas KolomvatsosChristos AnagnostopoulosPublished in: CD-MAKE (2020)
Keyphrases
- data quality
- learning scheme
- learning algorithm
- base learners
- data cleansing
- quality assessment
- quality management
- data warehouse
- data cleaning
- edge detection
- ensemble methods
- neural network
- data transformation
- random forests
- random forest
- training set
- rule learning
- training data
- data privacy
- class noise
- feature selection
- data mining