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WINEPI
Algorithm for data mining From Wikipedia, the free encyclopedia
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In data mining, the WINEPI algorithm is an influential algorithm for episode mining, which helps discover the knowledge hidden in an event sequence.
WINEPI derives part of its name from the fact that it uses a sliding window to go through the event sequence.
The outcome of the algorithm are episode rules describe temporal relationships between events and form an extension of association rules.
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References
- Heikki Mannila; Hannu Toivonen; A. Inkeri Verkamo (1997). "Discovery of Frequent Episodes in Event Sequences". Data Min. Knowl. Discov. 1 (3): 259–289. doi:10.1023/A:1009748302351. S2CID 6987161.
- Klemettinen & Moen. "Data mining course" (Powerpoint presentation). p. 12.
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