Outlier detection with ontology-driven fault contextualization in the Industry 4.0.
Dionei MiodutzkiCesar TaclaLuiz C. Gomes-JrPublished in: SBBD (2022)
Keyphrases
- outlier detection
- ontology driven
- topic maps
- fraud detection
- detection algorithm
- knowledge discovery
- density ratio estimation
- data streams
- credit card fraud detection
- density estimation
- high dimensional datasets
- detecting outliers
- data mining
- case study
- data sets
- object oriented
- outlier mining
- real world
- database
- detect outliers
- change point detection
- design patterns
- database systems
- least squares
- training data