Effect of class imbalance in heterogeneous network embedding: An empirical study.
Akash AnilSanasam Ranbir SinghPublished in: J. Informetrics (2020)
Keyphrases
- class imbalance
- heterogeneous networks
- class distribution
- active learning
- cost sensitive
- cost sensitive learning
- imbalanced datasets
- high dimensionality
- sampling methods
- concept drift
- heterogeneous information networks
- minority class
- multiple types
- support vector
- feature selection
- learning algorithm
- machine learning
- real world
- data fusion
- small number
- multi class
- data analysis