A Layered Quality Framework for Machine Learning-driven Data and Information Models.
Shelernaz AzimiClaus PahlPublished in: ICEIS (1) (2020)
Keyphrases
- historical data
- raw data
- machine learning
- data sets
- heterogeneous sources
- high quality
- data analysis
- prior knowledge
- experimental data
- information sources
- data quality
- complex data
- collected data
- probabilistic model
- statistical methods
- information resources
- data sources
- huge amounts
- data mining tools
- data collection
- log data
- sensor data
- database
- web data
- end users
- data structure
- modeling framework
- keywords
- data representations
- disparate data sources
- temporal information
- bayesian framework
- data processing
- background knowledge
- domain experts
- information extraction
- statistical analysis
- privacy concerns
- sensitive information
- spatial data
- private information
- high dimensional data
- semi supervised learning
- active learning
- data mining
- multiple sources
- accurate models
- machine learning methods