Multi-type clustering and classification from heterogeneous networks.
Gianvito PioFrancesco SerafinoDonato MalerbaMichelangelo CeciPublished in: Inf. Sci. (2018)
Keyphrases
- heterogeneous networks
- multi type
- multiple types
- heterogeneous information networks
- unsupervised learning
- classification accuracy
- clustering algorithm
- support vector
- data objects
- text classification
- co occurrence
- training set
- machine learning
- k means
- search engine
- supervised learning
- feature space
- class labels
- relational data
- decision trees
- social networks
- feature selection
- cost model
- link prediction
- high level
- clustering method
- visual features
- feature extraction
- similarity measure
- data sets
- xml documents