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 (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences data science data mining
- natural sciences mathematics pure mathematics discrete mathematics graph theory
- natural sciences computer and information sciences internet world wide web
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
ERC-2009-StG
See other projects for this call
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Host institution
3000 LEUVEN
Belgium
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.