Mining probabilistic automata: a statistical view of sequential pattern mining

  title={Mining probabilistic automata: a statistical view of sequential pattern mining},
  author={St{\'e}phanie Jacquemont and François Jacquenet and Marc Sebban},
  journal={Machine Learning},
During the past decade, sequential pattern mining has been the core of numerous research efforts. It is now possible to efficiently extract knowledge of users’ behavior from a huge set of sequences collected over time. This has applications in various domains such as purchases in supermarkets, Web site visits, etc. However, sequence mining algorithms do little to control the risks of extracting false discoveries or overlooking true knowledge. In this paper, the theoretical conditions to achieve… CONTINUE READING
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