UGRWO-Sampling: A modified random walk under-sampling approach based on graphs to imbalanced data classification.
Saeideh RoshanfekrShahriar EsmaeiliHassan AtaeianNeda Maleki KhasAli AmiriPublished in: CoRR (2020)
Keyphrases
- random walk
- imbalanced data classification
- directed graph
- hyper graph
- spectral methods
- web graph
- transition probability matrix
- link prediction
- minority class
- transition probabilities
- feature selection
- graph mining
- markov random walk
- markov chain
- class imbalance
- random sampling
- sample size
- graph structure
- support vector machine
- active learning
- nodes of a graph
- support vector