Bringing a Feature Selection Metric from Machine Learning to Complex Networks.
Nicolas DuguéJean-Charles LamirelAnthony PerezPublished in: COMPLEX NETWORKS (2) (2018)
Keyphrases
- complex networks
- feature selection
- machine learning
- information theoretic concepts
- community detection
- text classification
- social networks
- network analysis
- graph theory
- community structure
- social network analysis
- network structure
- scale free
- support vector machine
- learning algorithm
- mutual information
- text categorization
- biological networks
- feature set
- support vector
- microarray data
- network evolution
- link prediction
- scale free networks
- data mining
- feature space
- small world
- learning tasks
- real world networks
- model selection
- dimensionality reduction
- degree centrality
- computational biology
- community mining
- decision trees
- high dimensionality
- machine learning methods
- machine learning algorithms
- supervised learning
- feature subset
- gene expression data
- statistical methods
- knn
- knowledge discovery
- data analysis