A Distributed Bagging Ensemble Methodology for Community Prediction in Social Networks.
Christos MakrisGeorgios PispirigosIoannis Orestis RizosPublished in: Inf. (2020)
Keyphrases
- ensemble methods
- prediction accuracy
- social networks
- ensemble classifier
- ensemble learning
- base classifiers
- ensemble members
- random forest
- neural network ensemble
- ensemble classification
- random forests
- majority voting
- community detection
- distributed systems
- community structure
- ensemble selection
- classifier ensemble
- online communities
- imbalanced data
- virtual communities
- multi agent
- social network analysis
- online social networks
- randomized trees
- social web
- base learners
- social networking
- training set
- decision trees
- neural network
- tree ensembles
- overlapping community detection
- class label noise
- machine learning
- training data
- network structure
- web communities
- decision tree classifiers
- feature selection
- concept drift
- support vector machine
- multi class
- learning algorithm
- negative correlation learning
- social communities
- model averaging
- benchmark datasets
- social interaction
- weighted voting
- machine learning methods
- prediction model