Mining Causal Relationships in Multidimensional Time Series

@inproceedings{Mohammad2010MiningCR,
  title={Mining Causal Relationships in Multidimensional Time Series},
  author={Yasser F. O. Mohammad and Toyoaki Nishida},
  booktitle={Smart Information and Knowledge Management},
  year={2010}
}
Time series are ubiquitous in all domains of human endeavor. They are generated, stored, and manipulated during any kind of activity. The goal of this chapter is to introduce a novel approach to mine multidimensional time-series data for causal relationships. The main feature of the proposed system is supporting discovery of causal relations based on automatically discovered recurring patterns in the input time series. This is achieved by integrating a variety of data mining techniques. The… CONTINUE READING
11 Citations
36 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 11 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 36 references

Change detection in autoregressive time series

  • E. Gombay
  • J. Multivar. Anal. 99(3)
  • 2008
1 Excerpt

Feasibility of graph sequence mining based on admissibility constraints

  • A. Inokuchi, T. Washio
  • Thid International Workshop on Data Mining and…
  • 2008
2 Excerpts

Similar Papers

Loading similar papers…