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Temporal Topic Models for Probabilistic Motif Mining (SMiLe2014)

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How to use temporal probabilistic topic models for motif mining in multi-variate time series coming from mixed unknown phenomena.

Published in: Technology
  • A website about this work: http://www.idiap.ch/resource/research/probamod-v1/
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Temporal Topic Models for Probabilistic Motif Mining (SMiLe2014)

  1. 1. !
  2. 2. #$
  3. 3. !
  4. 4. %#'#% ' % '
  5. 5. ts z
  6. 6. w tr w tr
  7. 7. w ta ! # $ %
  8. 8. n(w, ta, d)Temporal Document:p w ta ts z p(z,ts|d) Motifs Occurences: z=1 w tr z=2 w tr p(w,tr|z) Temporal Motifs:
  9. 9. n(w, ta, d)Temporal Document:p w ta ts z p(z,ts|d) Motifs Occurences: z=1 w tr z=2 w tr p(w,tr|z) Temporal Motifs:
  10. 10. n(w, ta, d)Temporal Document:p w ta ts z p(z,ts|d) Motifs Occurences: z=1 w tr z=2 w tr p(w,tr|z) Temporal Motifs:
  11. 11. !
  12. 12. #
  13. 13. $ !
  14. 14. %
  15. 15. '
  16. 16. (
  17. 17. (
  18. 18. '

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