Mining Frequent Co-occurrence Patterns across Multiple Data Streams

@inproceedings{Yu2015MiningFC,
  title={Mining Frequent Co-occurrence Patterns across Multiple Data Streams},
  author={Ziqiang Yu and Xiaohui Yu and Yang Liu and Wenzhu Li and Jian Pei},
  booktitle={EDBT},
  year={2015}
}
This paper studies the problem of mining frequent co-occurrence patterns across multiple data streams, which has not been addressed by existing works. Co-occurrence pattern in this context refers to the case that the same group of objects appear consecutively in multiple streams over a short time span, signaling tight correlations between these objects. The need for mining such patterns in real-time arises in a variety of applications ranging from crime prevention to location-based services to… CONTINUE READING
6 Extracted Citations
20 Extracted References
Similar Papers

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 20 references

Mining frequent patterns in data streams at multiple time granularities

  • C. Giannella, J. Han, J. Pei, X. Yan, P. S. Yu
  • Next generation data mining,
  • 2003
Highly Influential
3 Excerpts

Similar Papers

Loading similar papers…