Objective In this project we aim at formulating enhancing theoretical foundations for the emerging field of graph mining. Graph mining is the field concerned with extracting interesting patterns and knowledge from graph or network structured data, such as can be found in chemistry, bioinformatics, the world wide web, social networks etc. Recent work has shown that many standard data mining techniques can be extended to structured data and can yield interesting results, but also that when applied to complex real-world data, these standard techniques often become computationally intractable. In this project we aim at providing a better understanding of the complexity of the tasks considered in the field of graph mining, and at proposing techniques to better exploit the properties of the data. To this aim, we will bring together insights from the fields of data mining, graph theory, learning theory and different application fields, and add our own original contributions. Key features of the methodology include the ground-breaking integration of insights from graph theory in data mining and learning approaches, the development of efficient prototype algorithms, and the interdisciplinary collaboration with application domain experts to validate the practical value of the work, This potential impact of this project is significant, as it will be the first systematic study of the theory of graph mining, it will provide foundations on which later research can build further and it will have applications in the many domains with complex data. Fields of science natural sciencescomputer and information sciencesdata sciencedata miningnatural sciencesmathematicspure mathematicsdiscrete mathematicsgraph theorynatural sciencescomputer and information sciencesinternetworld wide web Programme(s) FP7-IDEAS-ERC - Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Topic(s) ERC-SG-PE6 - ERC Starting Grant - Computer science and informatics Call for proposal ERC-2009-StG See other projects for this call Funding Scheme ERC-SG - ERC Starting Grant Host institution KATHOLIEKE UNIVERSITEIT LEUVEN EU contribution € 1 716 066,00 Address OUDE MARKT 13 3000 Leuven Belgium See on map Region Vlaams Gewest Prov. Vlaams-Brabant Arr. Leuven Activity type Higher or Secondary Education Establishments Principal investigator Jan Ramon (Dr.) Administrative Contact Stijn Delauré (Dr.) Links Contact the organisation Opens in new window Website Opens in new window Total cost No data Beneficiaries (1) Sort alphabetically Sort by EU Contribution Expand all Collapse all KATHOLIEKE UNIVERSITEIT LEUVEN Belgium EU contribution € 1 716 066,00 Address OUDE MARKT 13 3000 Leuven See on map Region Vlaams Gewest Prov. Vlaams-Brabant Arr. Leuven Activity type Higher or Secondary Education Establishments Principal investigator Jan Ramon (Dr.) Administrative Contact Stijn Delauré (Dr.) Links Contact the organisation Opens in new window Website Opens in new window Total cost No data
