We have edited a book on inductive databases and constraint-based data mining, which introduces this research area and gives an overview of recent research. Inductive databases are of great importance for the integrative analysis of data in general and for systems biology in praticular. Besides data, inductive databases contain patterns, which are generated through inductive queries. The book contains several chapters authored by the team of this project, covering topics such as ontologies for data mining, constrained clustering, predicting gene function and analyzing micro-array data.
C.01 Editorial board of a foreign/international collection of papers/book
COBISS.SI-ID: 24215079We have developed several methods for feature ranking and applied them to practical problems of biomarker discovery. These include a method for ranking in the context of predicting structured outputs, such as multiple targets, methods for evaluating rankings, and methods for aggregating rankings. We applied these methods to discover biomarkers for neuroblastoma, a type of embrional tumors, and the neurodegenerative Huntington's disease.
F.02 Acquisition of new scientific knowledge
COBISS.SI-ID: 24222247