Learning from large-scale commercial networks: challenges and knowledge extraction towards machine learning use cases.
Roman ZhohovAlexandros PalaiosPhilipp GeuerPublished in: 5G-MeMZ@SIGCOMM (2021)
Keyphrases
- knowledge extraction
- machine learning
- learning systems
- learning algorithm
- learning problems
- knowledge acquisition
- online learning
- learning tasks
- learning process
- reinforcement learning
- social networks
- real world
- unsupervised learning
- active learning
- supervised learning
- connectionist networks
- machine learning algorithms
- textual documents
- lessons learned
- case based reasoning
- natural language processing
- machine learning methods
- inductive learning
- medical images
- learning models
- statistical learning
- explanation based learning
- recurrent networks
- background knowledge
- model selection
- text classification
- database
- semi supervised
- data analysis
- bayesian networks
- decision trees
- feature selection
- artificial intelligence
- data mining
- data sets