CORDIS Project
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The project focuses on enhancing algorithmic preprocessing techniques to simplify complex problems in big data. By reducing the search space for problem-solving algorithms, it aims to significantly decrease computation times, making data processing more efficient.
In our world of big data and theoretically intractable problems, automated preprocessing to simplify problem formulations before solving them algorithmically is growing ever more important.
Suitable preprocessing has the potential to reduce computation times from days to seconds.
In the last 15 years, a framework for rigorously studying the power and limitations of efficient preprocessing has been developed.
The resulting theory of kernelization is full of deep theorems, but it has overshot its…
TECHNISCHE UNIVERSITEIT EINDHOVEN
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