Mining Frequent Synchronous Patterns with a Graded Notion of Synchrony
Salatiel Ezennaya-Gomez, Christian Borgelt
Available Online June 2015.
- https://doi.org/10.2991/ifsa-eusflat-15.2015.189How to use a DOI?
- Graded synchrony, synchronous events, frequent pattern, pattern mining.
- We present methods to find (significant) frequent synchronous patterns in event sequences, using a graded notion of synchrony that captures both the number of instances of a pattern as well as the precision of synchrony of its constituting events. Since transferring earlier work (using a binary notion of synchrony) poses certain problems, we opt for an efficient approximation scheme to compute the pattern support. Furthermore, we transfer methods for filtering for significant and removing induced patterns, which require adaptations. Finally, we demonstrate the effectiveness of our approach with experiments on a large number of data sets with injected synchronous patterns.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Salatiel Ezennaya-Gomez AU - Christian Borgelt PY - 2015/06 DA - 2015/06 TI - Mining Frequent Synchronous Patterns with a Graded Notion of Synchrony BT - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology PB - Atlantis Press SP - 1338 EP - 1345 SN - 1951-6851 UR - https://doi.org/10.2991/ifsa-eusflat-15.2015.189 DO - https://doi.org/10.2991/ifsa-eusflat-15.2015.189 ID - Ezennaya-Gomez2015/06 ER -