Data-driven Approach using Unsupervised Learning for Detecting Anomalies in Facility Operations.
Eunbi ChoSungil HongHyeseo YoonEunsung ChoJinho ShimJoohee OhJunghyun KimPublished in: Big Data (2022)
Keyphrases
- detecting anomalies
- unsupervised learning
- anomaly detection
- supervised learning
- data driven
- data mining applications
- machine learning
- expectation maximization
- feature selection
- dimensionality reduction
- model selection
- reinforcement learning
- deep learning
- semi supervised
- data sets
- image segmentation
- natural language processing
- database
- probabilistic model
- pattern recognition
- feature extraction