Knowledge Discovery in Graphs Through Vertex Separation.
Marc SarfatiMarc QueudotCatherine MancelMarie-Jean MeursPublished in: Canadian Conference on AI (2017)
Keyphrases
- knowledge discovery
- labeled graphs
- directed graph
- undirected graph
- attributed graphs
- hamiltonian cycle
- maximum cardinality
- formal concept analysis
- weighted graph
- graph matching
- web mining
- vertex set
- connected subgraphs
- minimum weight
- graph theory
- data mining
- edge weights
- data mining and knowledge discovery
- graph theoretic
- graph model
- real world
- graph structure
- association rules
- outlier detection
- data mining techniques
- decision support
- association rule mining
- subgraph isomorphism
- machine learning
- discovering knowledge
- text mining
- series parallel
- neural network
- graph kernels
- random graphs
- data mining applications
- approximation algorithms
- spanning tree
- concept lattice
- biological data