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  • The Inria's Research Teams produce an annual Activity Report presenting their activities and their results of the year. These reports include the team members, the scientific program, the software developed by the team and the new results of the year. The report also describes the grants, contracts and the activities of dissemination and teaching. Finally, the report gives the list of publications of the year.

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Section: New Results

Accelerating Itemset Sampling using Satisfiability Constraints on FPGA

Participants: M. Gueguen, O. Sentieys, A. Termier

Finding recurrent patterns within a data stream is important for fields as diverse as cybersecurity or e-commerce. This requires to use pattern mining techniques. However, pattern mining suffers from two issues. The first one, known as “pattern explosion”, comes from the large combinatorial space explored and is the result of too many patterns output for analysis. Recent techniques, called output space sampling solve this problem by outputting only a sample of the results, with a target size provided by the user. The second issue is that most algorithms are designed to operate on static datasets or low throughput streams. In [10], the authors propose a contribution to tackle both issues, by designing an FPGA accelerator for pattern mining with output space sampling. They show that their accelerator can outperform a state-of-the-art implementation on a server class CPU using a modest FPGA product.