CORDIS Project
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This project seeks to enhance data summarization techniques for big data applications. By developing compact summaries that capture key data features, the goal is to improve the efficiency of data processing and enable effective analysis across various complex structures.
A fundamental challenge in processing the massive quantities of information generated by modern applications is in extracting suitable representations of the data that can be stored, manipulated and interrogated on a single machine. A promising approach is in the design and analysis of compact summaries: data structures which capture key features of the data, and which can be created effectively over distributed data sets.
Popular summary structures include the Bloom filter, which compactly re…
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