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Abstract: Sequences of events describing the behavior and actions of users or systems can be collected in several domains. An episode is a collection of events that occur relatively close to each other in a given partial order. We consider the problem of discovering frequently occurring episodes in a sequence. Once such episodes are known, one can produce rules for describing or predicting the behavior of the sequence. We give efficient algorithms for the discovery of all frequent episodes from a given... (Update)
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BibTeX entry: (Update)
H. Mannila, H. Toivonen, and A. I. Verkamo. Discovery of frequent episodes in event sequences. Data Mining and Knowledge Discovery, 1(3), 1997. http://citeseer.ist.psu.edu/mannila97discovery.html More
@article{ mannila97discovery,
author = "Heikki Mannila and Hannu Toivonen and A. Inkeri Verkamo",
title = "Discovery of Frequent Episodes in Event Sequences",
journal = "Data Mining and Knowledge Discovery",
volume = "1",
number = "3",
pages = "259-289",
year = "1997",
url = "citeseer.ist.psu.edu/mannila97discovery.html" }
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