Graph Anonymization Using Machine Learning.
Maria Laura MaagLudovic DenoyerPatrick GallinariPublished in: AINA (2014)
Keyphrases
- machine learning
- graph representation
- explanation based learning
- graph model
- graph structure
- random walk
- privacy preserving
- machine learning approaches
- machine learning methods
- text classification
- support vector machine
- knowledge acquisition
- learning algorithm
- artificial intelligence
- bipartite graph
- learning tasks
- directed graph
- pattern recognition
- connected components
- graph databases
- weighted graph
- decision trees
- graph theory
- inductive learning
- directed acyclic graph
- data mining
- learning systems
- machine learning algorithms
- graph theoretic
- edge weights
- privacy preserving data publishing
- feature selection
- computer vision
- information extraction
- graph matching
- inductive logic programming
- structured data
- semi supervised learning
- computer science
- model selection
- computational intelligence
- text mining
- supervised learning