Objective
The design of graph algorithms plays a fundamental role to solve many of the computational problems that arise from several fields. The efficiency of an algorithm is a critical parameter that determinates its applicability, and it is becoming more and more critical nowadays when the amount of data and information is growing to sizes of terabytes (e.g. Internet search databases, geographical information systems, and bio informatics). For non-massive data sets, the efficiency directly depends on the number of elementary operations that the algorithm makes in main memory, but for massive data sets, the bottleneck of the computation is the number of times weave to probe (or access) the data through the memory hierarchy. In this work, the connection between information hidden in the data will be modelled in a graph-theoretical way giving us (massive) graphs that we want to deal with.
Efficient, new graph algorithms will be developed that will take into account the trade-off between time and space in massive and non-massive data sets. According to the leading expertise of the host, emphasis will be put on techniques based on graph minors and topological methods. The researcher will receive advanced training in the methods and techniques commonly used in graph and external memory algorithms. Together with his previous work on computational geometry, the researcher will have acquired broad knowledge of a cross-section of discrete algorithms.
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 internet
- natural sciences computer and information sciences databases
- natural sciences mathematics pure mathematics geometry
- natural sciences mathematics pure mathematics discrete mathematics graph theory
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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.
FP6-2002-MOBILITY-5
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.
Coordinator
LJUBLJANA
Slovenia
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.