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Prof. Dr. M. Jarke
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RWTH Aachen
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Optimizing Mining Maximal Frequent Patterns with MFPAS

Thesis type
  • Bachelor
  • Master
Status Open
Supervisor(s)
Advisor(s)

Recently, a new approach for finding maximal frequent patterns (MFPAS) was presented by the supervisor and advisers of this thesis. Several further optimizations of the algorithm are possible. The student working on this thesis will experiment with different optimization possibilities and analyse their effect experimentally. For a master thesis, further theoretical analysis of the optimizations and the original algorithm are necessary. Related paper: M. R. Karim, M. Cochez, O. D. Beyan, C. F. Ahmed, and S. Decker. Mining maximal frequent patterns in transactional databases and dynamic data streams: a spark-based approach. Information Sciences, 2017a

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