ISSN 0253-2778

CN 34-1054/N

Open AccessOpen Access JUSTC

A novel method for mining latent events based on scalable patterns

Cite this:
https://doi.org/10.3969/j.issn.0253-2778.2019.07.002
  • Received Date: 26 September 2018
  • Rev Recd Date: 04 December 2018
  • Publish Date: 31 July 2019
  • Big data reflect the people's living habits, social and natural laws. Data stream, one of the most important forms of manifestation, has a wide range of applications. In the field of practical application of data stream, the waveband consisted of continuous data point can show the abundant semantics. Therefore, it’s significant to take the pattern (waveband) as the granularity and expressive form of data stream.
    Big data reflect the people's living habits, social and natural laws. Data stream, one of the most important forms of manifestation, has a wide range of applications. In the field of practical application of data stream, the waveband consisted of continuous data point can show the abundant semantics. Therefore, it’s significant to take the pattern (waveband) as the granularity and expressive form of data stream.
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