Machine Learning for Water Supply Supervision.
Thomas SchranzGerald SchweigerSiegfried PabstFranz WotawaPublished in: IEA/AIE (2020)
Keyphrases
- water supply
- machine learning
- optimal design
- active learning
- water resources
- machine learning algorithms
- water distribution
- machine learning methods
- data mining
- knowledge acquisition
- learning systems
- cost effective
- pattern recognition
- feature selection
- learning problems
- database
- water consumption
- low cost
- text mining
- natural language processing
- data analysis
- computer vision
- artificial intelligence
- text classification
- model selection
- e government
- inductive learning
- computer science
- decision trees
- supervised machine learning
- metadata