Similarity-Based Chained Transfer Learning for Energy Forecasting With Big Data.
Yifang TianLjubisa SehovacKatarina GrolingerPublished in: IEEE Access (2019)
Keyphrases
- big data
- transfer learning
- learning tasks
- knowledge transfer
- cloud computing
- big data analytics
- labeled data
- social media
- data analysis
- data management
- reinforcement learning
- machine learning
- active learning
- cross domain
- multi task
- collaborative filtering
- knowledge discovery
- semi supervised learning
- transfer knowledge
- business intelligence
- data warehousing
- data science
- text classification
- machine learning algorithms
- text mining
- data processing
- unlabeled data
- transferring knowledge
- real world
- domain adaptation
- case study
- learning algorithm
- data integration
- text categorization
- database management systems
- domain specific
- knowledge management
- general purpose
- expert systems
- databases