A primer to frequent itemset mining for bioinformatics

@inproceedings{Naulaerts2015APT,
  title={A primer to frequent itemset mining for bioinformatics},
  author={Stefan Naulaerts and Pieter Meysman and Wout Bittremieux and Trung-Nghia Vu and Wim Vanden Berghe and Bart Goethals and Kris Laukens},
  booktitle={Briefings in Bioinformatics},
  year={2015}
}
Over the past two decades, pattern mining techniques have become an integral part of many bioinformatics solutions. Frequent itemset mining is a popular group of pattern mining techniques designed to identify elements that frequently co-occur. An archetypical example is the identification of products that often end up together in the same shopping basket in supermarket transactions. A number of algorithms have been developed to address variations of this computationally non-trivial problem… CONTINUE READING
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Modeling networks as probabilistic sequences of frequent subgraphs. http://win

  • K Van Leemput, A. Verschoren
  • ua.ac.be/ adrem/bibrem/pubs/MLSB08.pdf
  • 2013
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