- project management
- scientific guidance
- common specification and design documents
- graph mining and analysis
- visualisation and interaction methods
- oversee integration activities
|
- data management
- biomedical sciences applications
- computational infrastructure
|
- data and text mining
- explanation
- use cases
- evaluation
|
- machine learning and data mining
- inductive databases and querying
- (statistical) relational learning
- graph mining
- bio- and chemo-informatics
- action and activity learning
|
- user interface related research including graph visualization and interaction
- information adaptation and reorganization with respect to usage context and task specific user interests
|
- network analysis algorithms
- link estimation and prediction
- network abstraction
- search in weighted networks
- network visualization
- applications in bioinformatics and human genetics
|
- soft mappings between entities from heterogeneous resources
- entity resolution
- business modelling scenario
|
- intelligent data analysis (especially with soft computing methods)
- frequent subgraph mining (graph databases and single graphs)
- graphical models (Bayes and Markov networks)
- reasoning with uncertainty (probabilistic and possibilistic)
|
Bisociation Networks for Creative Information Discovery
