On Graph Entropy Measures for Knowledge Discovery from Publication Network Data.
Andreas HolzingerBernhard OfnerChristof StockerAndré Calero ValdezAnne Kathrin SchaarMartina ZiefleMatthias DehmerPublished in: CD-ARES (2013)
Keyphrases
- knowledge discovery
- databases
- shannon entropy
- random walk
- graph structure
- directed acyclic graph
- formal concept analysis
- mutual information
- information theoretic
- information theory
- graph connectivity
- data analysis
- data mining techniques
- graph theoretic
- structured data
- machine learning
- graph model
- graph theory
- digital libraries
- data mining
- discovering knowledge
- graph representation
- conceptual design
- graph mining
- rough set theory
- decision support
- decision trees
- concept lattice
- bipartite graph
- data mining applications
- directed graph
- connected components
- graph partitioning
- web mining
- knowledge discovery in databases
- data mining and knowledge discovery
- conceptual clustering
- rough sets
- information retrieval
- minimal spanning tree