Supervision of learning methods in user data interpretation.
Maya SappelliSuzan VerberneWessel KraaijPublished in: IIiX (2012)
Keyphrases
- data structure
- learning models
- human experts
- prior knowledge
- data quality
- learning algorithm
- user defined
- training data
- data analysis
- data sources
- recommender systems
- empirical studies
- learning systems
- data mining techniques
- statistical methods
- raw data
- noisy data
- bayesian methods
- database
- data sets
- spectral clustering
- missing values
- user input
- background knowledge
- missing data
- learned models
- clustering algorithm
- data processing
- online learning
- data points
- end users
- reinforcement learning
- active learning
- social networks
- decision trees
- multiple sources
- statistical tests
- data mining methods
- preprocessing
- user interface
- learning process
- data collection
- significant improvement
- relevance feedback
- supervised learning
- high dimensional data
- statistical analysis