A first approach to the classification of the top 500 world universities by their disciplinary characteristics using scientometrics.
Ying ChengNian Cai LiuPublished in: Scientometrics (2006)
Keyphrases
- automatic classification
- image classification
- machine learning
- classification accuracy
- feature space
- classification scheme
- pattern classification
- pattern recognition
- decision trees
- classification models
- support vector machine
- supervised learning
- object classification
- machine learning algorithms
- unsupervised learning
- neural network
- classification algorithm
- document classification
- feature vectors
- preprocessing
- supervised classification
- learning vector quantization
- classification systems
- cost sensitive
- classification method
- cross validation
- benchmark datasets
- text classification
- support vector
- training data
- feature extraction
- e learning
- learning algorithm