Stream Sequential Pattern Mining with Precise Error Bounds

  title={Stream Sequential Pattern Mining with Precise Error Bounds},
  author={Luiz F. Mendes and Bolin Ding and Jiawei Han},
  journal={2008 Eighth IEEE International Conference on Data Mining},
Sequential pattern mining is an interesting data mining problem with many real-world applications. This problem has been studied extensively in static databases. However, in recent years, emerging applications have introduced a new form of data called data stream. In a data stream, new elements are generated continuously. This poses additional constraints on the methods used for mining such data: memory usage is restricted, the infinitely flowing original dataset cannot be scanned multiple… CONTINUE READING
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