Machine learning and graph analytics in computational biomedicine.
Quan ZouLei ChenTao HuangZhenguo ZhangYungang XuPublished in: Artif. Intell. Medicine (2017)
Keyphrases
- machine learning
- artificial intelligence
- data mining
- graph theoretic
- learning analytics
- computational chemistry
- data analysis
- educational data mining
- future directions
- predictive modeling
- connected components
- case study
- machine learning methods
- text classification
- business intelligence
- graph mining
- graph structure
- big data
- structured data
- knowledge acquisition
- computer science
- pattern recognition
- graph representation
- machine learning algorithms
- feature selection
- natural language processing
- knowledge representation
- active learning
- weighted graph
- learning algorithm
- life sciences
- explanation based learning
- machine learning approaches
- directed acyclic graph
- graph theory
- model selection
- computational intelligence
- supervised learning
- support vector machine
- bayesian networks
- natural language